{"generated_at":"2026-10-10T03:36:13Z","total":514,"page":0,"pages":6,"page_size":100,"next":"/api/catalog?topic=control-systems&page=1","documents":[{"id":"doi-095b6d920268c3a5b292","title":"A Discrete Hemodynamic Control System: Proof-of-Concept In-Vivo Study in Canine Heart Failure Using a Pulmonary Artery Catheter","year":2026,"authors":["Yasuyuki Kataoka","Kazunori Uemura","Takuya Nishikawa"],"author_count":16,"journal":"IEEE Open Journal of Engineering in Medicine and Biology","doi":"10.1109/ojemb.2026.3723319","source":"doaj","topics":["control-systems"],"keywords":["Hemodynamic control system","in-vivo validation","heart failure","Computer applications to medicine. Medical informatics","Medical technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-095b6d920268c3a5b292","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-787acb4c76280787c328","title":"Hierarchical Short-Horizon Model Predictive Control With User Adaptation for Microcontroller-Based Balcony Photovoltaic Energy Management","year":2026,"authors":["David Gogelein","Marianne Von Schwerin"],"author_count":2,"journal":"IEEE Access","doi":"10.1109/access.2026.3739242","source":"doaj","topics":["control-systems"],"keywords":["Balcony photovoltaic systems","embedded systems","energy management systems","model predictive control","residential energy management","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-787acb4c76280787c328","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-69758fa055ed55764e5b","title":"Switched Robust Model Predictive Control With Structured Feedback Uncertainty","year":2026,"authors":["Luis Carvalho","Marcus V. S. Costa","Leonardo H. Macedo"],"author_count":4,"journal":"IEEE Access","doi":"10.1109/access.2026.3738706","source":"doaj","topics":["control-systems"],"keywords":["Boundary invariant ellipsoids","LMIs","robust MPC","switched control systems","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-69758fa055ed55764e5b","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-e997a6274a29473744a7","title":"CTAP-Net: A Multi-Head Self-Attention-Based Multi-Task Framework for BLDC Motor Fault Diagnosis and RUL Prediction","year":2026,"authors":["R. Sanjay","Sathya Karunanithi","Arunkumar Balakrishnan"],"author_count":3,"journal":"IEEE Access","doi":"10.1109/access.2026.3736491","source":"doaj","topics":["control-systems"],"keywords":["Attention mechanisms","BLDC motors","condition monitoring","cross-task learning","fault diagnosis","intelligent prognostics","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-e997a6274a29473744a7","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-7955925adc3da6b70f48","title":"Constraint-aware deep reinforcement learning with nonlinear model predictive control shielding for hybrid energy storage systems under pulsed loads","year":2026,"authors":["Jian Zhang","Xucheng Huang","Tao Zhang"],"author_count":5,"journal":"Energy and AI","doi":"10.1016/j.egyai.2026.100897","source":"doaj","topics":["control-systems"],"keywords":["Hybrid energy storage systems","Pulsed power loads","Energy management","Deep reinforcement learning","Action shielding","Nonlinear model predictive control","Electrical engineering. Electronics. Nuclear engineering","Computer software"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-7955925adc3da6b70f48","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-3694224f8940eb7fae64","title":"Improved performance of a PMSM control system based on a high-order SMC, MPC, and reinforcement learning agent for rapid control prototyping","year":2026,"authors":["Marcel Nicola","Claudiu-Ionel Nicola"],"author_count":2,"journal":"Results in Control and Optimization","doi":"10.1016/j.rico.2026.100830","source":"doaj","topics":["control-systems"],"keywords":["PMSM","High order sliding mode control","Model predictive control","Reinforcement learning","Rapid control prototyping","Applied mathematics. Quantitative methods"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-3694224f8940eb7fae64","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-53c65af85b90eadc02c7","title":"Economic operation optimization for large electrolyzer systems using economic multilinear model predictive control","year":2026,"authors":["Aline Luxa","Leandro Samaniego Vallejos","Georg Pangalos"],"author_count":5,"journal":"Energy Conversion and Management: X","doi":"10.1016/j.ecmx.2026.102352","source":"doaj","topics":["control-systems","optimization"],"keywords":["Multi-stack electrolyzer","Operation management","Optimization","Computational performance","Degradation","Multilinear model","Engineering (General). Civil engineering (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-53c65af85b90eadc02c7","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-65a3f933d13e9588f529","title":"Proportional-integral adaptive relaxed-set robust model predictive control for range-extender energy management in extended-range electric vehicles","year":2026,"authors":["Moustafa Magdi Ismail","Mujahed Al-Dhaifallah","Bilal Khan"],"author_count":4,"journal":"Ain Shams Engineering Journal","doi":"10.1016/j.asej.2026.104484","source":"doaj","topics":["control-systems"],"keywords":["Adaptive control","Energy management","Extended-range electric vehicles","Model predictive control","Engineering (General). Civil engineering (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-65a3f933d13e9588f529","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-748ff177babe25c1d2d1","title":"Cascaded machine learning-based neural Model Predictive Control for real-time thermal management of a sCO","year":2026,"authors":["Sadegh Ataee","Mehran Ameri"],"author_count":2,"journal":"Case Studies in Thermal Engineering","doi":"10.1016/j.csite.2026.108599","source":"doaj","topics":["control-systems"],"keywords":["Neural-MPC","Serial coaxial AGESC","Cascaded machine learning","Soft exergy constraints","Real-Time control","Thermal management","Engineering (General). Civil engineering (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-748ff177babe25c1d2d1","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-b9b768424d5f6d33958b","title":"Mamba Sequence Modeling Meets Model Predictive Control","year":2026,"authors":["M. Cevaal","T.O. de Jong","M. Lazar"],"author_count":3,"journal":"IEEE Open Journal of Control Systems","doi":"10.1109/ojcsys.2026.3724785","source":"doaj","topics":["control-systems"],"keywords":["Model predictive control","neural networks","recurrent neural networks","machine learning","data-driven modeling","Control engineering systems. Automatic machinery (General)","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-b9b768424d5f6d33958b","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-d98efef2cce1380149f2","title":"AMICASim: Adaptive Multidrug Control System of Major Surgery Featuring Human-in-the-Loop Capabilities for Balanced Anesthesia Care","year":2026,"authors":["Dana Copot","Erhan Yumuk","Bora Ayvaz"],"author_count":5,"journal":"IEEE Access","doi":"10.1109/access.2026.3734062","source":"doaj","topics":["control-systems"],"keywords":["Closed-loop anesthesia control","automated drug delivery","titration paradox","constrained optimization","pharmacokinetic–pharmacodynamic modeling","MIMO control systems","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-d98efef2cce1380149f2","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-2e8415339d6e3770223d","title":"Design and real-time implementation of a fractional-order adaptive PID controller for load frequency control in hybrid renewable power systems","year":2026,"authors":["Youssef M. Abdelhalim","Othman A. M. Omar","Mahmoud A. Attia"],"author_count":6,"journal":"Scientific Reports","doi":"10.1038/s41598-026-69818-3","source":"doaj","topics":["control-systems"],"keywords":["Fractional-order derivatives","Adaptive control strategy","Hybrid electrical energy systems","Mathematical modeling","Load frequency control","Medicine","Science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-2e8415339d6e3770223d","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-bbc28ea6a80371bcca46","title":"Intelligent Vessel Course Stabilization Control System","year":2026,"authors":["Vladislav Mykhailenko","Iryna Hvozdeva","Valerii Shevchenko"],"author_count":5,"journal":"TransNav","doi":"10.12716/1001.20.03.01","source":"doaj","topics":["control-systems"],"keywords":["automatic control","neural networks","navigation safety","artificial intelligence (ai)","mathematical modelling","autonomous ships","ship manoeuvring","disturbance compensation"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-bbc28ea6a80371bcca46","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-2d206f4b5cd2f9ea3966","title":"Robust bearing fault diagnosis for rotating machinery under noisy and variable operating conditions using a Wavelet-Mamba Network.","year":2026,"authors":["Dayou Cui","Zhaoyan Xie","Zhixue Wang"],"author_count":5,"journal":"PLoS ONE","doi":"10.1371/journal.pone.0358759","source":"doaj","topics":["control-systems"],"keywords":["Medicine","Science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-2d206f4b5cd2f9ea3966","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-a51f8f8fec0a0cc05e5b","title":"A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery","year":2026,"authors":["Temesgen Tadesse Feisa","Fasikaw Kibrete","Yitbarek Gashaw Tadesse"],"author_count":8,"journal":"Engineering Reports","doi":"10.1002/eng2.71097","source":"doaj","topics":["control-systems"],"keywords":["artificial intelligence","conventional neural network","deep learning","fault diagnosis","generative adversarial network","rotating machinery","Engineering (General). Civil engineering (General)","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-a51f8f8fec0a0cc05e5b","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-cc8524db96cc395ec707","title":"Fault Diagnosis of Centrifugal Pumps under Hydraulic Excitation and Flow Noise: A Critical Review of Vibration, Motor-Current, Acoustic-Emission, and Data-Driven Methods","year":2026,"authors":["Sharad R.  Bhadane","Kasi Raja  Rao ","Sanjay T.  Purkar "],"author_count":3,"journal":"Journal of Engineering","doi":"10.31026/j.eng.2026.10.08","source":"doaj","topics":["control-systems"],"keywords":["Acoustic emission","Centrifugal pump fault diagnosis","Critical review","Hydraulic noise","Machine learning","Engineering (General). Civil engineering (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-cc8524db96cc395ec707","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-00bf4445cbcbc745ee0d","title":"Research on intelligent control system for dynamic scene target following of service robots integrating TrackVLA++ and SeFA","year":2026,"authors":["Nanmei Zhang"],"author_count":1,"journal":"Systems and Soft Computing","doi":"10.1016/j.sasc.2026.200653","source":"doaj","topics":["control-systems"],"keywords":["Service robot","Multimodal target tracking","Semantic feature enhancement","Dynamic trajectory planning","Safety control mechanism","Information technology","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-00bf4445cbcbc745ee0d","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-c1804aa11006a5c8c929","title":"Enhanced Bearing Fault Diagnosis Using Integrated ICEEMDAN-TKEO-Envelope Analysis Under Variable Load Conditions","year":2026,"authors":["Kabla Aida","Asradj Zahir"],"author_count":2,"journal":"ITEGAM-JETIA","doi":"10.5935/jetia.v12i61.4692","source":"doaj","topics":["control-systems"],"keywords":["Technology","Technology (General)","Science (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-c1804aa11006a5c8c929","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-9058234e538cae8a969c","title":"Continuous Control Set Model Predictive Control Method for Three-Level Active Power Filter Based on NN-RLS Parameter Identification","year":2026,"authors":["Weiyao Xu","Ningning Li","Yang Chen"],"author_count":3,"journal":"IEEE Access","doi":"10.1109/access.2026.3733562","source":"doaj","topics":["control-systems"],"keywords":["Three-level active power filter","continuous-control-set model predictive control","online parameter identification","harmonic compensation","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-9058234e538cae8a969c","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-0e8ac125465674818284","title":"Multi-Fault Diagnosis in Solar Panels using Hybrid Feature Fusion Approach","year":2026,"authors":["Supriya ","Ashok Kumar Sahoo ","Mahesh Manchanda "],"author_count":3,"journal":"International Journal of Mathematical, Engineering and Management Sciences","doi":"10.33889/ijmems.2026.11.5.084","source":"doaj","topics":["control-systems"],"keywords":["soiling effects","matthews correlation coefficient","spatial feature algorithm","transfer learning","multi lime based explainable ai","Technology","Mathematics"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-0e8ac125465674818284","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-665c2f3b60d12dde06cb","title":"Development of an adaptive sprayer control system for UAV-based spot spraying in soybean","year":2026,"authors":["Md Nurul Azmir","Akwasi Tagoe","Benjamin R.K. Runkle"],"author_count":6,"journal":"Smart Agricultural Technology","doi":"10.1016/j.atech.2026.102589","source":"doaj","topics":["control-systems"],"keywords":["Computer vision","Soybean","Spraying","UAVs","Weed control","Agriculture (General)","Agricultural industries"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-665c2f3b60d12dde06cb","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-cb51651122840a24afb7","title":"Gain scheduling multi-model predictive control of the outlet temperature for the molten salt linear Fresnel collector","year":2026,"authors":["Ling-gang Kong","Hui-zhong Lu","Duo-jin Fan"],"author_count":6,"journal":"Energy Reports","doi":"10.1016/j.egyr.2026.109614","source":"doaj","topics":["control-systems"],"keywords":["Molten salt LFC","Multi-model predictive control","Gain scheduling","Concentrating solar power","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-cb51651122840a24afb7","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-e91103e04eba7f6fe731","title":"Modulated Model Predictive Control With Two State Variables for Active Power Decoupling Under Unbalanced and Distorted Grid Conditions","year":2026,"authors":["Minji Kim","Yujin Shin","Dohong Lee"],"author_count":4,"journal":"IEEE Access","doi":"10.1109/access.2026.3736001","source":"doaj","topics":["control-systems"],"keywords":["Active power decoupling (APD)","dc-link voltage ripple","modulated model predictive control (MMPC)","unbalanced grid","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-e91103e04eba7f6fe731","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-44cfb5e7472fc98043ff","title":"DEVELOPMENT AND IMPLEMENTATION OF AN AUTOMATED CONTROL SYSTEM FOR SUGAR EXTRACTION FROM WHEAT STRAW BASED ON MATHEMATICAL MODELING OF ACID AND ENZYMATIC HYDROLYSIS","year":2026,"authors":["R. S. Bekbayeva","M. D. Sarbayeva","K. S. Bekbayev"],"author_count":5,"journal":"Шәкәрім университетінің хабаршысы: Техника ғылымдар","doi":"10.53360/2788-7995-2026-2(22)-5","source":"doaj","topics":["control-systems"],"keywords":["automated control system","mathematical modeling","hydrolysis","wheat straw","sugar extraction","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-44cfb5e7472fc98043ff","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-29c51eff25fec2257033","title":"THREE-CIRCUIT CASCADE CONTROL SYSTEM OF A HEAT AND POWER PLANT WITH ADAPTIVE ADJUSTMENT OF PID REGULATOR COEFFICIENTS","year":2026,"authors":["S. S. Zhussupbekov","L. K. Abzhanova","A. Sabyrova"],"author_count":5,"journal":"Шәкәрім университетінің хабаршысы: Техника ғылымдар","doi":"10.53360/2788-7995-2025-4(20)-2","source":"doaj","topics":["control-systems"],"keywords":["cascade system","fuzzy regulator","stability","control","transition process","pid controller","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-29c51eff25fec2257033","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-2c58d43dacfbc8318262","title":"Interpretable bearing fault diagnosis based on wavelet scattering network, PCA dimensionality reduction and PLUKAN network","year":2026,"authors":["Jun-Jie Xu","Mu-Quan Lin","Han-Cheng Hsiang"],"author_count":3,"journal":"Scientific Reports","doi":"10.1038/s41598-026-59000-0","source":"doaj","topics":["control-systems"],"keywords":["Bearing fault diagnosis","Wavelet scattering network (WSN)","PLUKAN","Interpretability","Few-shot learning","Edge computing","Medicine","Science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-2c58d43dacfbc8318262","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-cf65a7b0c0405382d8e3","title":"An intelligent fault diagnosis method for breakers based on instance segmentation and temperature probability density analysis","year":2026,"authors":["Zhifan Mo","Xiping Han","Yuhong Yan"],"author_count":8,"journal":"Scientific Reports","doi":"10.1038/s41598-026-60154-0","source":"doaj","topics":["control-systems"],"keywords":["Infrared imaging","Instance segmentation","Fault diagnosis","Substation breakers","Kernel density estimation","Medicine","Science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-cf65a7b0c0405382d8e3","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-b32894bb38a9899eb160","title":"Toward trustworthy and explainable AI-driven industrial fault diagnosis: A data-to-deployment review","year":2026,"authors":["Trong-Du Nguyen","Manh-Cuong Nguyen","Ngoc-Lam Ngo"],"author_count":5,"journal":"Results in Engineering","doi":"10.1016/j.rineng.2026.113189","source":"doaj","topics":["control-systems"],"keywords":["Intelligent fault diagnosis","Predictive maintenance","Deep learning","Transfer learning","Domain adaptation","Explainable AI","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-b32894bb38a9899eb160","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-511ec95c3276a1ef862b","title":"Artificial intelligence in administering the expenditures of the Social Fund of Russia: Concept of a modular control system","year":2026,"authors":["Sh. K. Kutaev","S. S. Ovchinnikov"],"author_count":2,"journal":"Экономика и управление","doi":"10.35854/1998-1627-2026-8-1011-1020","source":"doaj","topics":["control-systems"],"keywords":["artificial intelligence","social fund of russia","expenditure administration","desk audit","procurement control","risk scoring","digital transformation","Economics as a science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-511ec95c3276a1ef862b","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-5097b7ea0d707b0107e7","title":"An explainable stacking ensemble for UAV propeller fault diagnosis using electromechanical flight telemetry","year":2026,"authors":["Saadi Turied Kurdi","Luttfi A. Al-Haddad","Mohamed A.A. Ismail"],"author_count":5,"journal":"Array","doi":"10.1016/j.array.2026.101183","source":"doaj","topics":["control-systems"],"keywords":["UAV health monitoring","Fault diagnosis","SHAP interpretability","Machine learning","Computer engineering. Computer hardware","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-5097b7ea0d707b0107e7","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-3ab00990fa9fc77ae2da","title":"A hybrid machine learning framework for image-based bearing fault diagnosis advancing SDG Goal 9: Sustainable industry and innovation","year":2026,"authors":["Madhumitha S.","Sathya Narayana Sharma K.","Yashuvanthra Dhevi S."],"author_count":5,"journal":"Array","doi":"10.1016/j.array.2026.101017","source":"doaj","topics":["control-systems"],"keywords":["Sustainable manufacturing","Bearing fault diagnosis","Hybrid machine learning","Predictive maintenance","Industry 4.0","Computer engineering. Computer hardware","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-3ab00990fa9fc77ae2da","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-e753532c0f64247d7cd4","title":"Stator-Current-and-Voltage-Sensorless Model Predictive Control of a Doubly Fed Induction Generator Direct Current System","year":2026,"authors":["Hadi Afsharirad","Fahimeh Sadighi-Amandi","Mohamad Reza Banaei"],"author_count":4,"journal":"Electrica","doi":"10.5152/electrica.2026.25257","source":"doaj","topics":["control-systems"],"keywords":["Doubly fed Induction Generator","Model Predictive Control","Stator Voltage and Current Sensorless Control","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-e753532c0f64247d7cd4","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-685f33f3d1ba64409456","title":"Development of a Dual-Mode Measurement and Control System with Energy Feedback Optimization for a Retrofitted NEV Powertrain Dynamometer","year":2026,"authors":["Zimou Chen","Zhe Wang"],"author_count":2,"journal":"World Electric Vehicle Journal","doi":"10.3390/wevj17090476","source":"doaj","topics":["control-systems"],"keywords":["CAN bus","dual-mode measurement and control","dynamometer retrofit","energy feedback optimization","torque sensor fusion","wavelet filtering","Electrical engineering. Electronics. Nuclear engineering","Transportation engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-685f33f3d1ba64409456","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-16405990a49e49a46ceb","title":"Hierarchical Fault Diagnosis in Transmission Systems: Comparative Machine Learning for Fault Classification and Zonal Location with Traveling-Wave-Based Distance Estimation","year":2026,"authors":["Max Gonzalo Chiluisa Saragosin","Alexander Aguila Téllez"],"author_count":2,"journal":"Technologies","doi":"10.3390/technologies14090553","source":"doaj","topics":["control-systems"],"keywords":["fault diagnosis","transmission systems","fault classification","zonal fault location","machine learning","traveling waves","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-16405990a49e49a46ceb","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-269d03f0a7ef7d647ce6","title":"Spatiotemporal Prediction-Driven Model Predictive Control for Vehicle–Aircraft Conflict Resolution on Airport Surface","year":2026,"authors":["Haiyan Zhang","Jian Zhang","Bo Wang"],"author_count":5,"journal":"Systems","doi":"10.3390/systems14091159","source":"doaj","topics":["control-systems"],"keywords":["airport ground management","model predictive control","spatiotemporal prediction","conflict resolution","autonomous vehicles","Systems engineering","Technology (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-269d03f0a7ef7d647ce6","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-046dff42b75891f9cd6d","title":"Constrained Close Loop Model Predictive Control Architecture for Deformable Linear Objects for Dynamic Motions","year":2026,"authors":["Marc Kilian Klankers","Jochen J. Steil"],"author_count":2,"journal":"Robotics","doi":"10.3390/robotics15090163","source":"doaj","topics":["control-systems"],"keywords":["deformable linear object","model predictive control","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-046dff42b75891f9cd6d","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-97cbf4a2341a37e27b41","title":"Research on Infrared Image Denoising and Fault Diagnosis Methods for Rotating Machinery","year":2026,"authors":["Mei Ming","Shengnan Li","Yumei Ai"],"author_count":6,"journal":"Machines","doi":"10.3390/machines14091086","source":"doaj","topics":["control-systems"],"keywords":["edge computing","fault diagnosis","infrared imaging","convolutional neural network","deep learning","stationary wavelet transform","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-97cbf4a2341a37e27b41","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-4e0d3a80701173e3a5d0","title":"LiDAR-Aided Human–Machine Shared Control Optimization for Unknown Complex Environments via Model Predictive Control and Deep Reinforcement Learning","year":2026,"authors":["Zhiao Cheng","Qianqian Zhang","Zerui Li"],"author_count":3,"journal":"Machines","doi":"10.3390/machines14091081","source":"doaj","topics":["control-systems"],"keywords":["human–machine shared control","model predictive control","deep reinforcement learning","intelligent navigation","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-4e0d3a80701173e3a5d0","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-6858fa98e8e3db6503a4","title":"MSA-Mamba: A Frequency-Enhanced Multi-Scale Adaptive State Space Model for Motor Fault Diagnosis","year":2026,"authors":["Xutao Lu","Xingpeng An","Jing Li"],"author_count":5,"journal":"Machines","doi":"10.3390/machines14091075","source":"doaj","topics":["control-systems"],"keywords":["motor fault diagnosis","Mamba","state space model","multi-scale feature fusion","small-sample learning","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-6858fa98e8e3db6503a4","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-afa8e82570d56f48524a","title":"Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes","year":2026,"authors":["Paraskevi Zacharia","Styliani Kontaki","Konstantinos Moustris"],"author_count":4,"journal":"Machines","doi":"10.3390/machines14091058","source":"doaj","topics":["control-systems"],"keywords":["fault diagnosis","fault severity estimation","machine learning","time-series analysis","industrial process monitoring","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-afa8e82570d56f48524a","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-cb91793d1967eb94fa15","title":"A Hybrid Data–Physics Residual Network with Class-Orthogonal Physics Heads for EMAT Lamb-Wave Fault Diagnosis on Rail-Steel Plates","year":2026,"authors":["Shao-Xuan Zhang","Hai-Dong Song","Yi-Yao Zhang"],"author_count":3,"journal":"Machines","doi":"10.3390/machines14091053","source":"doaj","topics":["control-systems"],"keywords":["EMAT","Lamb wave","physics-informed neural network","fault diagnosis","condition monitoring","hybrid data-driven model","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-cb91793d1967eb94fa15","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-89e4b229d9328dd96b24","title":"A Chirp-Rate-Driven Adaptive Window Chirplet Transform and Its Application in Bearing Fault Diagnosis","year":2026,"authors":["Zhonghao Liu","Gang Yu","Tian Ran Lin"],"author_count":3,"journal":"Machines","doi":"10.3390/machines14091055","source":"doaj","topics":["control-systems"],"keywords":["time–frequency analysis","adaptive window length","uncorrelated components","frequency modulation","fault diagnosis","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-89e4b229d9328dd96b24","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-f96ce7f5dfbae5c66703","title":"Ensemble Network-State Forecasting for Remote Fault Diagnosis Using Transformer and Ridge Regression","year":2026,"authors":["Zehua Sun","Yancai Xiao","Haikuo Shen"],"author_count":4,"journal":"Machines","doi":"10.3390/machines14091037","source":"doaj","topics":["control-systems"],"keywords":["remote fault diagnosis","edge–cloud computing","network-state forecasting","Transformer","ridge regression","forecast combination","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-f96ce7f5dfbae5c66703","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-49345dc18d4edcc1c442","title":"An FEM-Informed Statistical Feature Extraction and Comparative Machine Learning Framework for Dynamic Eccentricity Fault Diagnosis in Interior Permanent Magnet Synchronous Motors","year":2026,"authors":["A. Abeena","N. Praveen Kumar"],"author_count":2,"journal":"Machines","doi":"10.3390/machines14091033","source":"doaj","topics":["control-systems"],"keywords":["condition monitoring","dynamic eccentricity","fault diagnosis","finite element method","machine learning","permanent magnet synchronous motor","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-49345dc18d4edcc1c442","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-296b32aafd44ca1f93b5","title":"Comparative Evaluation of Conventional Feature-Based and Physics-Guided Condition-Index Representations for Industrial Motor Fault Diagnosis","year":2026,"authors":["DongHee Park","JaeGwang Yoon","ByeongKeun Choi"],"author_count":3,"journal":"Machines","doi":"10.3390/machines14091024","source":"doaj","topics":["control-systems"],"keywords":["condition index","fault diagnosis","industrial motor","interpretable machine learning","support vector machine","vibration analysis","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-296b32aafd44ca1f93b5","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-4b81eea5c4dfef44157a","title":"Progressive Attention-Guided Two-Stage Transfer Learning for Few-Shot Cross-Condition Bearing Fault Diagnosis","year":2026,"authors":["Ziyi Zhang","Longchao Cao","Zhe Wang"],"author_count":7,"journal":"Machines","doi":"10.3390/machines14091010","source":"doaj","topics":["control-systems"],"keywords":["operating conditions","bearing","ECA","fault diagnosis","transfer learning","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-4b81eea5c4dfef44157a","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-4af4f791d4fb898ddfca","title":"DDGF-Net: A Novel Dual-Domain Generative-Discriminative Fusion Network for Gearbox Fault Diagnosis Under Strong Noise Conditions","year":2026,"authors":["Ruihan Ma","Xuanyue Wang","Jiajun Cheng"],"author_count":6,"journal":"Machines","doi":"10.3390/machines14091013","source":"doaj","topics":["control-systems"],"keywords":["gearbox fault diagnosis","strong noise interference","conditional variational autoencoder","dual-domain feature fusion","cross-attention mechanism","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-4af4f791d4fb898ddfca","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-a1242c71f97b9950fc64","title":"Data-Driven Model Predictive Control for Speed Temperature Drift Compensation of Rotary Traveling Wave Ultrasonic Motors","year":2026,"authors":["Xue Qi","Haozhe Ding","Meiting Zhao"],"author_count":8,"journal":"Machines","doi":"10.3390/machines14090998","source":"doaj","topics":["control-systems"],"keywords":["model predictive control","rotary traveling wave ultrasonic motor","speed prediction model","temperature drift compensation","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-a1242c71f97b9950fc64","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-a49a91ddeafc80ae833b","title":"Imbalanced Fault Diagnosis of Harmonic Reducers Using Vibration Signals Based on an Auxiliary Classifier WGAN-GP with Spectral Normalization","year":2026,"authors":["Lingdong Wang","Ronggang Yang","Jianlong Wang"],"author_count":6,"journal":"Machines","doi":"10.3390/machines14090988","source":"doaj","topics":["control-systems"],"keywords":["harmonic reducer","fault diagnosis","vibration signal","imbalanced data","WGAN-GP","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-a49a91ddeafc80ae833b","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-7e4d9008e87f99f3fe0d","title":"SHGCN: An Industrial Fault Diagnosis Model Integrating Simplicial Hierarchical Topology","year":2026,"authors":["Guoqing Li","Weijun Zhang"],"author_count":2,"journal":"Machines","doi":"10.3390/machines14090983","source":"doaj","topics":["control-systems"],"keywords":["fault diagnosis","simplicial complex","graph neural network","industrial systems","higher-order topology","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-7e4d9008e87f99f3fe0d","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-6d898a6669bb80c71f70","title":"Rolling Bearing Fault Diagnosis Under Variable Operating Conditions Using Group Sparse Reconstruction and Multi-Strategy Improved Quantum Particle Swarm Optimized RVM","year":2026,"authors":["Xinrui Wang","Yabing Yu"],"author_count":2,"journal":"Machines","doi":"10.3390/machines14090958","source":"doaj","topics":["control-systems"],"keywords":["rolling bearing fault diagnosis","group sparse reconstruction","quantum particle swarm optimization","relevance vector machine","information entropy features","variable operating conditions","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-6d898a6669bb80c71f70","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-3fb052d8eb80ff2cd98b","title":"Adaptive Domain-Aligned Multi-Modal Feature Fusion Network for Cross-Speed Fault Diagnosis of Planetary Gearboxes","year":2026,"authors":["Xin Xia","Xiaolu Wang"],"author_count":2,"journal":"Machines","doi":"10.3390/machines14090960","source":"doaj","topics":["control-systems"],"keywords":["planetary gearbox","fault diagnosis","multi-modal feature fusion","domain adversarial neural network","cross-speed condition","deep learning","Mechanical engineering and machinery"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-3fb052d8eb80ff2cd98b","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-3bb09545e0f3cca61aa5","title":"Using Bayesian Networks for Fault Diagnosis: An Application to a Small Unmanned Aerial Vehicle","year":2026,"authors":["Alexander Athanasios Kamtsiuris","Ann-Kathrin Koschlik","Florian Raddatz"],"author_count":4,"journal":"Engineering Proceedings","doi":"10.3390/engproc2026133144","source":"doaj","topics":["control-systems"],"keywords":["unmanned aerial vehicle","bayesian networks","health monitoring","Engineering machinery, tools, and implements"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-3bb09545e0f3cca61aa5","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-fafab1e476c2da922864","title":"Structural Model of a Very Light Airplane for Flutter Analyses Considering Pilot’s Effect on Flight Control System","year":2026,"authors":["Robert Rogólski"],"author_count":1,"journal":"Engineering Proceedings","doi":"10.3390/engproc2026133120","source":"doaj","topics":["control-systems"],"keywords":["very light airplane (VLA)","finite element method/model (FEM)","normal modes","aeroelastic flutter","flight control system","Engineering machinery, tools, and implements"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-fafab1e476c2da922864","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-4e3d7eac1231244fdef0","title":"Alternating Sequential Model Predictive Control in Multimodular Direct Matrix Converters","year":2026,"authors":["Rodrigo Romero","Edgar Maqueda","Sergio Toledo"],"author_count":7,"journal":"Engineering Proceedings","doi":"10.3390/engproc2026124093","source":"doaj","topics":["control-systems"],"keywords":["model predictive control","matrix converter","alternating sequential control","reactive power","multimodular converters","Engineering machinery, tools, and implements"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-4e3d7eac1231244fdef0","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-26375ce01da0ecc8a24f","title":"Simulation of a POCKETQUBE Nanosatellite Swarm Control System via a Linear Quadratic Regulator","year":2026,"authors":["Jacques B. Ngoua Ndong Avele","Dalia A. Karaf","Vladimir K. Orlov"],"author_count":3,"journal":"Engineering Proceedings","doi":"10.3390/engproc2026124003","source":"doaj","topics":["control-systems"],"keywords":["swarm of nanosatellites","linear quadratic regulator","spacecraft","nanosatellite","PocketQube","Matlab/Simulink","Engineering machinery, tools, and implements"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-26375ce01da0ecc8a24f","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-c5eb6845a241c1e2ed50","title":"Multi-Fault Diagnosis in Twisted-Pair Cables of Networked Control Systems Using Transferometry","year":2026,"authors":["Abdel Karim Abdel Karim"],"author_count":1,"journal":"Eng","doi":"10.3390/eng7090471","source":"doaj","topics":["control-systems"],"keywords":["soft fault diagnosis","transferometry","transmission coefficient","twisted-pair cable","networked control systems","multi-fault localisation","Electrical engineering. Electronics. Nuclear engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-c5eb6845a241c1e2ed50","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-f6ccfdffbad9abb6cb3f","title":"An EV-Assisted Dual T-Type Inverter SAPF with Model Predictive Control for Advanced Power Quality Enhancement","year":2026,"authors":["Mohamed Djelbane","Mohamed Elbar","Naas Charrak"],"author_count":8,"journal":"Energies","doi":"10.3390/en19184403","source":"doaj","topics":["control-systems"],"keywords":["T-type inverter","shunt active power filter","model predictive control","power quality (PQ)","PI-regulated","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-f6ccfdffbad9abb6cb3f","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-54db70dc54b476093bfc","title":"Transformer Fault Diagnosis Method Based on Multidimensional Feature Fusion and Self-Adaptive Synthetic Over-Sampling Using a Least Squares Support Vector Machine Optimized by Experience Exchange Strategy","year":2026,"authors":["Shuang Wang","Yuen Wen","Junwei Yao"],"author_count":7,"journal":"Energies","doi":"10.3390/en19184339","source":"doaj","topics":["control-systems"],"keywords":["fault diagnosis","dissolved gas in oil","imbalanced classification","synthetic data generation","experience exchange strategy","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-54db70dc54b476093bfc","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-50b968fa9b7793320e95","title":"Model Predictive Control for Visual-Servo Tracking in Unmanned Aerial Vehicles: A Scoping Review","year":2026,"authors":["José Varela-Aldás","Renato M. Toasa","Viviana Moya"],"author_count":5,"journal":"Drones","doi":"10.3390/drones10090667","source":"doaj","topics":["control-systems"],"keywords":["model predictive control","visual servoing","unmanned aerial vehicle","tracking","target tracking","scoping review","Motor vehicles. Aeronautics. Astronautics"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-50b968fa9b7793320e95","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-6abc5b8537441ede5062","title":"A Nonlinear Model Predictive Control Method for Trajectory Planning of UAV Swarms","year":2026,"authors":["Yi Cui","Tongxin Zeng","Bin Li"],"author_count":3,"journal":"Drones","doi":"10.3390/drones10090647","source":"doaj","topics":["control-systems"],"keywords":["distributed nonlinear model predictive control","formation","inter-UAV collision avoidance","obstacle avoidance","trajectory planning","UAV swarm","Motor vehicles. Aeronautics. Astronautics"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-6abc5b8537441ede5062","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-5151d76facc35b7e217d","title":"Bearing Fault Diagnosis Under Data Imbalance and Heavy Noise: An Adaptive Weighted Heterogeneous Ensemble Learning Framework","year":2026,"authors":["Tao Peng","Ran Gu","Quanjun Li"],"author_count":6,"journal":"Computers","doi":"10.3390/computers15090621","source":"doaj","topics":["control-systems"],"keywords":["fault diagnosis","data imbalance","heterogeneous ensemble learning","adaptive weight selection","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-5151d76facc35b7e217d","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-22473cb15152b14b2ffe","title":"A Bearing Fault Diagnosis Method for Variable Operating Conditions Based on MMDSC-CBAM-BiLSTM","year":2026,"authors":["Yufang Wang","Cairong Li","Jianan Wang"],"author_count":3,"journal":"Computers","doi":"10.3390/computers15090614","source":"doaj","topics":["control-systems"],"keywords":["bearing fault diagnosis","multi-channel multi-scale convolutional neural network","attention mechanism","bidirectional long short-term memory network","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-22473cb15152b14b2ffe","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-a74119803168f646b0e8","title":"A Study on Locally Runnable Large Language Models for Bearing Fault Diagnosis","year":2026,"authors":["Mehadi Hasan Shawon","Prashant Kumar"],"author_count":2,"journal":"Computation","doi":"10.3390/computation14090220","source":"doaj","topics":["control-systems"],"keywords":["bearing fault diagnosis","large language models","local LLM","prognostics and health management","few-shot prompting","edge AI","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-a74119803168f646b0e8","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-925c3730045341dc5578","title":"Study on Parameter Optimization of a Multi-Mass Pendulum for a Wind-Induced Vibration Control System","year":2026,"authors":["Han Wang","Zuohua Li","Dan Han"],"author_count":4,"journal":"CivilEng","doi":"10.3390/civileng7030044","source":"doaj","topics":["control-systems"],"keywords":["multiple-pendulum tuned mass damper","wind-induced vibration","optimal parameters","Engineering (General). Civil engineering (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-925c3730045341dc5578","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-cc17b1786c3c8521fd2c","title":"Time-Gated Multi-Expert Generative Adversarial Network for Gearbox Fault Diagnosis","year":2026,"authors":["Puyang Guan","Zhe Wei","Lei Wang"],"author_count":4,"journal":"Big Data and Cognitive Computing","doi":"10.3390/bdcc10090283","source":"doaj","topics":["control-systems"],"keywords":["gearbox fault diagnosis","gated mixture-of-experts discriminator","hybrid generator","clustering-guided structural embedding","multi-scale temporal feature engineering","Technology"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-cc17b1786c3c8521fd2c","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-8a64910cb253b4789252","title":"Evaluation of a Fuzzy-Supervised PID Controller for a Parallel Rehabilitation Mechanism","year":2026,"authors":["Adriana-Daniela Banyai","Daniel-Vasile Banyai","Cornel Brisan"],"author_count":3,"journal":"Bioengineering","doi":"10.3390/bioengineering13091029","source":"doaj","topics":["control-systems"],"keywords":["rehabilitation robotics","parallel mechanism","fuzzy-supervised PID control","actuator-space tracking","Simscape Multibody","CAD-derived dynamics","Technology","Biology (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-8a64910cb253b4789252","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-d76ed9980337260674d9","title":"Fault Diagnosis of a Grid-Forming Hybrid Energy Storage Power Station Based on a Physics-Informed Heterogeneous Temporal Graph Neural Network Constrained by Virtual Synchronous Generator Control Equations","year":2026,"authors":["Zhuoying Liao","Jing Zhang","Tonghe Wang"],"author_count":5,"journal":"Batteries","doi":"10.3390/batteries12090369","source":"doaj","topics":["control-systems"],"keywords":["grid-forming hybrid energy storage station","virtual synchronous generator","fault diagnosis","heterogeneous temporal graph neural network","physics-informed feature fusion","Production of electric energy or power. Powerplants. Central stations","Industrial electrochemistry"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-d76ed9980337260674d9","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-e9f56495394512b1afdb","title":"Intelligent Fault Diagnosis and Maintenance Decision Support in Electrical Induction Generators Using Multi-CNN Extreme Ensemble Learning","year":2026,"authors":["Majida Khaleel Ahmed","Ahmed Mohammed Mohsin Alzubaidi","Zeashan Hameed Khan"],"author_count":6,"journal":"Applied System Innovation","doi":"10.3390/asi9090182","source":"doaj","topics":["control-systems"],"keywords":["electrical induction generator","fault diagnosis","predictive maintenance","extreme ensemble learning","Hjorth parameters","decision support system","Technology","Applied mathematics. Quantitative methods"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-e9f56495394512b1afdb","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-62ff2983f5dde6758629","title":"A Game-Theoretic Framework for PI/PID Controller Selection in a Coupled Two-Tank Hydraulic System","year":2026,"authors":["Nacim Nait Mohand","Hocine Lehouche"],"author_count":2,"journal":"AppliedMath","doi":"10.3390/appliedmath6090151","source":"doaj","topics":["control-systems"],"keywords":["coupled two-tank system","feedback linearization","PI/PID control","game theory","Nash equilibrium","controller selection","Mathematics"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-62ff2983f5dde6758629","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-98310ee1c0c10ae709d4","title":"Search-Process Benchmarking of GA, PSO, DE, ABC, GWO and WOA for PMSM Inverter Fault Diagnosis in Electric Vehicle Drives","year":2026,"authors":["Bonginkosi A. Thango","Katleho Moloi"],"author_count":2,"journal":"Algorithms","doi":"10.3390/a19090810","source":"doaj","topics":["control-systems"],"keywords":["permanent magnet synchronous motor","electric vehicle drive","inverter fault diagnosis","metaheuristic benchmarking","feature selection","search dynamics","Industrial engineering. Management engineering","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-98310ee1c0c10ae709d4","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-087f2821daa513bd41b3","title":"Domain-Adaptive Audio Large Language Model for Acoustic Fault Diagnosis and Semantic Description of Coal Mine Equipment","year":2026,"authors":["Daming Cui","Xin Zhang","Qiang Ma"],"author_count":3,"journal":"Algorithms","doi":"10.3390/a19090778","source":"doaj","topics":["natural-language-processing","control-systems"],"keywords":["parameter-efficient fine-tuning","anomaly description generation","low-rank adaptation","industrial anomaly detection","structured decoding","dynamic token compression","Industrial engineering. Management engineering","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-087f2821daa513bd41b3","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-d0da9c4fdc23fcd16009","title":"A Multi-Stage Post-Training Framework for Domain-Specific Language Models in Fault Diagnosis","year":2026,"authors":["Wei Zhang","Hui Fang","Tongle Wu"],"author_count":8,"journal":"AI","doi":"10.3390/ai7090383","source":"doaj","topics":["control-systems"],"keywords":["fault diagnosis","HVAC","large language models","reinforcement learning","urban rail transit","Electronic computers. Computer science"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-d0da9c4fdc23fcd16009","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-2c7b5faa2deca7f2137e","title":"Cross-Node Fault Diagnosis of Solar Insecticidal Lamp IoT Equipment for Reliable Precision Pest Monitoring Using a Diagnosability-Aware Health Baseline","year":2026,"authors":["Xing Yang","Zhengjie Wang","Xinsheng Zhou"],"author_count":5,"journal":"Agriculture","doi":"10.3390/agriculture16182036","source":"doaj","topics":["control-systems"],"keywords":["agricultural Internet of Things","condition monitoring","fault diagnosis","green pest control","health baseline","precision pest monitoring","Agriculture (General)"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-2c7b5faa2deca7f2137e","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-6bb746766629800dd7f9","title":"An Intelligent Bearing Fault Diagnosis Model with Physics-Information Fusion: Design and Interpretability Mechanism Research","year":2026,"authors":["Zhenyang Yu","Fei Shao","Qian Xu"],"author_count":6,"journal":"Actuators","doi":"10.3390/act15090481","source":"doaj","topics":["control-systems"],"keywords":["intelligent fault diagnosis","adaptive learning","interpretability","physical constraints","Materials of engineering and construction. Mechanics of materials","Production of electric energy or power. Powerplants. Central stations"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-6bb746766629800dd7f9","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-c1bd3bb4131ca818cbcc","title":"Transferability-Guided Residual Attention Domain Adaptation for Unsupervised Cross-Condition Aero-Engine Gas-Path Fault Diagnosis","year":2026,"authors":["Haobin Xu","Kailong Cai","Lishun Chen"],"author_count":3,"journal":"Aerospace","doi":"10.3390/aerospace13090774","source":"doaj","topics":["control-systems"],"keywords":["aero-engine","gas-path fault diagnosis","cross-condition diagnosis","unsupervised domain adaptation","transferability index","learnable gating","Motor vehicles. Aeronautics. Astronautics"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-c1bd3bb4131ca818cbcc","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-c07adbc8a8413c3df2f8","title":"A Fault Diagnosis Method for Roadheader Cutting Head Based on GADF and Attention-Enhanced Transfer Learning AlexNet","year":2026,"authors":["Changpeng Li","Zhenyu Dai"],"author_count":2,"journal":"Actuators","doi":"10.3390/act15090465","source":"doaj","topics":["control-systems"],"keywords":["cutting head","fault diagnosis","Gramian angular difference field","transfer learning","AlexNet","Materials of engineering and construction. Mechanics of materials","Production of electric energy or power. Powerplants. Central stations"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-c07adbc8a8413c3df2f8","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-1ba256e756bca7400fc2","title":"Review of bearing fault diagnosis based on neural networks","year":2026,"authors":["Xiaoning HU","Yan LIANG"],"author_count":2,"journal":"工程科学学报","doi":"10.13374/j.issn2095-9389.2026.03.13.002","source":"doaj","topics":["control-systems"],"keywords":["neural networks","bearing","fault diagnosis","complex operating conditions","deep learning","Mining engineering. Metallurgy","Environmental engineering"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-1ba256e756bca7400fc2","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-35e8a3761cc8bb1a0648","title":"Run-Disjoint Few-Shot XGBoost Framework for Compound Fault Diagnosis of Induction Motors","year":2026,"authors":["Runsheng Diao","Mingzhe Zhou","Yuanxiu Ma"],"author_count":3,"journal":"Actuators","doi":"10.3390/act15090458","source":"doaj","topics":["control-systems"],"keywords":["induction motor","compound fault diagnosis","few-shot learning","variable operating conditions","run-disjoint protocol","XGBoost","Materials of engineering and construction. Mechanics of materials","Production of electric energy or power. Powerplants. Central stations"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-35e8a3761cc8bb1a0648","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-99f91b4778398f83d668","title":"Demonstrating a Robust Walking Algorithm for Underactuated Bipedal Robots in Non-flat, Non-stationary Environments","year":2024,"authors":["Oluwami Dosunmu-Ogunbi","Aayushi Shrivastava","Jessy W Grizzle"],"author_count":3,"journal":null,"doi":"10.1109/iros58592.2024.10802406","source":"arxiv","topics":["control-systems"],"keywords":["cs.RO","cs.SY","eess.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-99f91b4778398f83d668","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2503.14669","title":"Learning-Based Progressive Barrier Control for Robot Manipulators with Initial Errors Outside Prescribed Tracking Bounds","year":2026,"authors":["Hamed Rahimi Nohooji","Danial Zafaranchizadeh Moghaddam","Abolfazl Zaraki"],"author_count":4,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.RO","cs.SY","eess.SY"],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2503.14669","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-f84c5fe25bc7a2739210","title":"Data Informativity under Data Perturbation","year":2026,"authors":["Taira Kaminaga","Hampei Sasahara"],"author_count":2,"journal":null,"doi":"10.1109/tac.2026.3738318","source":"arxiv","topics":["control-systems"],"keywords":["math.OC","cs.SY","eess.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-f84c5fe25bc7a2739210","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2509.11467","title":"A Goal-Oriented Approach for Active Object Detection with Exploration-Exploitation Balance","year":2026,"authors":["Yalei Yu","Matthew Coombes","Wen-Hua Chen"],"author_count":10,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2509.11467","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-85ddc8e433a9066e1063","title":"Expanding the Workspace of Electromagnetic Navigation Systems Using Dynamic Feedback for Single- and Multi-agent Control","year":2026,"authors":["Jasan Zughaibi","Denis von Arx","Maurus Derungs"],"author_count":8,"journal":null,"doi":"10.1109/tro.2026.3738468","source":"arxiv","topics":["control-systems"],"keywords":["cs.RO","cs.SY","eess.SY"],"license":"CC-BY-SA-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/doi-85ddc8e433a9066e1063","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2601.18681","title":"ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule","year":2026,"authors":["Yilie Huang","Wenpin Tang","Xunyu Zhou"],"author_count":3,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.LG","cs.AI","cs.SY","eess.SY","math.OC"],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2601.18681","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2602.01164","title":"Computationally Tractable Robust Nonlinear Model Predictive Control using DC Programming","year":2026,"authors":["Martin Doff-Sotta","Zaheen A-Rahman","Mark Cannon"],"author_count":3,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["math.OC","cs.SY","eess.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2602.01164","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2602.12016","title":"A Numerical Investigation of Indirect Adaptive Predictive Control with Structure-Informed Nonlinear Regressors","year":2026,"authors":["Tam W. Nguyen"],"author_count":1,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2602.12016","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-6b893e9f734f4c28dc9e","title":"The Potential Welfare Gains from Curtailment Trading Under Non-Firm Interconnection","year":2026,"authors":["Richard Mahuze","Charlotte Gressel","Ali Amadeh"],"author_count":4,"journal":"Applied Energy 427, Part B (2027) 128861","doi":"10.1016/j.apenergy.2026.128861","source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-6b893e9f734f4c28dc9e","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2605.22965","title":"Occupation-Weighted Performance Bounds for Rollout Policies in Stochastic Shortest Path Problems","year":2026,"authors":["Anders Hansson","Bo Wahlberg"],"author_count":2,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["math.OC","cs.SY","eess.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2605.22965","fulltext_endpoint":null,"references_endpoint":null},{"id":"doi-8cbf4fb849578ffb2148","title":"Surrogate Modeling of Interconnector Flows: A Machine Learning Alternative to Full-Scale Power System Simulations with Application to Cross-Border Electricity Exchange","year":2026,"authors":["Robert Gaugl","Eloy Insunza","José Portela"],"author_count":4,"journal":"Applied Energy 427 (2027) 128946","doi":"10.1016/j.apenergy.2026.128946","source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/doi-8cbf4fb849578ffb2148","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2607.02137","title":"Adaptive Reparametrized Time for Score-Based Diffusion Sampling","year":2026,"authors":["Yilie Huang","Wenpin Tang","Xun Yu Zhou"],"author_count":3,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.LG","cs.AI","cs.SY","eess.SY","math.OC"],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2607.02137","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.21172","title":"TierKV: Long-Context On-Device LLMs via Predictive Multi-Tier KV Caching","year":2026,"authors":["Zhihao Shu","Md Musfiqur Rahman Sanim","Jie Hu"],"author_count":7,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.LG","cs.SY","eess.SY"],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.21172","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.21447","title":"FootQuery: Future-Touchdown-Guided Retrieval from Depth History for Perceptive Humanoid Locomotion","year":2026,"authors":["Tao Dong","Jia Yu","Yuxuan Fan"],"author_count":8,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.RO","cs.LG","cs.SY","eess.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.21447","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.28984","title":"CrossSafe: Towards Cross-Embodiment Latent Safety Filters","year":2026,"authors":["Ihab Tabbara","Yuxuan Yang","Hussein Sibai"],"author_count":3,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.RO","cs.AI","cs.LG","cs.SY","eess.SY"],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.28984","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.36942","title":"Safe-by-Design Learning via Energy-based Neural Networks","year":2026,"authors":["Simone Betteti","Morteza Lahijanian","Luca Laurenti"],"author_count":3,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["cs.LG","cs.AI","cs.SY","eess.SY"],"license":"CC-BY-SA-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.36942","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.38272","title":"Computing Scaled Relative Graphs of Discrete-Time LTI Systems: A Frequency-Domain Approach","year":2026,"authors":["Guoming Shi","Fredy Ruiz"],"author_count":2,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.38272","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.38280","title":"Timing Sensitivity in Actuated Traffic Signal Control: A simulation study on one urban network","year":2026,"authors":["Nitai Aharoni"],"author_count":1,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.38280","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.38395","title":"Unified Optimality Conditions for Stochastic Optimal Control in the Rough Path and Itô Frameworks","year":2026,"authors":["Thomas Lew"],"author_count":1,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["math.OC","cs.LG","cs.RO","cs.SY","eess.SY","math.PR"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.38395","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.38435","title":"Low-Rank and Lifted Semidefinite Programming for Mixed-Integer Polynomial Power Grid Optimization","year":2026,"authors":["Samuel Chevalier"],"author_count":1,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY","math.OC"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.38435","fulltext_endpoint":null,"references_endpoint":null},{"id":"arxiv-2609.38474","title":"Condition-Based Maintenance of Degrading Assets underIntermittent Accessibility","year":2026,"authors":["Muhammet Ceyhan Sahin","Murat Yildirim","Onur A. Kilic"],"author_count":3,"journal":null,"doi":null,"source":"arxiv","topics":["control-systems"],"keywords":["eess.SY","cs.SY"],"license":"CC0-1.0","has_fulltext":false,"has_references":false,"rights_class":"metadata_only","access":"paid","version":1,"content_endpoint":"/api/document/arxiv-2609.38474","fulltext_endpoint":null,"references_endpoint":null}]}