Pub Date : 2025-12-31DOI: 10.1109/TFUZZ.2025.3633738
Le Wang;Huaguang Zhang;Juan Zhang;Lei Wan
This article proposes the fault supervision and performance fuzzy recovery control method for a class of nonlinear systems, where the output tracking error can converge to the user-defined range at the prescribed time and realize rapid restoration of original performance when the redundant actuator is activated. The proposed approach classifies actuator faults into different severity levels: for moderate faults, an adaptive control law is designed to achieve fault compensation, while for extreme faults, a redundant actuator activation mechanism is triggered. A unified supervision function with adjustable parameters is constructed to meet the performance requirements under different initial conditions, and the uncertain factors during the system operation are approximately handled through the fuzzy logic systems. Notably, the intermediate function is introduced to dynamically reconstruct error variables, enabling specified-time recovery after error drift during extreme fault. Ultimately, the simulations under various initial conditions demonstrate the superior effectiveness of the proposed method in terms of fault tolerance and performance recovery.
{"title":"Unified Fault-Supervision-Based Performance Fuzzy Recovery Control for Nonlinear Systems With Redundant Actuator Activation","authors":"Le Wang;Huaguang Zhang;Juan Zhang;Lei Wan","doi":"10.1109/TFUZZ.2025.3633738","DOIUrl":"https://doi.org/10.1109/TFUZZ.2025.3633738","url":null,"abstract":"This article proposes the fault supervision and performance fuzzy recovery control method for a class of nonlinear systems, where the output tracking error can converge to the user-defined range at the prescribed time and realize rapid restoration of original performance when the redundant actuator is activated. The proposed approach classifies actuator faults into different severity levels: for moderate faults, an adaptive control law is designed to achieve fault compensation, while for extreme faults, a redundant actuator activation mechanism is triggered. A unified supervision function with adjustable parameters is constructed to meet the performance requirements under different initial conditions, and the uncertain factors during the system operation are approximately handled through the fuzzy logic systems. Notably, the intermediate function is introduced to dynamically reconstruct error variables, enabling specified-time recovery after error drift during extreme fault. Ultimately, the simulations under various initial conditions demonstrate the superior effectiveness of the proposed method in terms of fault tolerance and performance recovery.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"34 1","pages":"336-346"},"PeriodicalIF":11.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145861213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31DOI: 10.1109/tfuzz.2025.3646916
{"title":"IEEE Transactions on Fuzzy Systems Publication Information","authors":"","doi":"10.1109/tfuzz.2025.3646916","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3646916","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"56 1","pages":"C2-C2"},"PeriodicalIF":11.9,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145895502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-26DOI: 10.1109/tfuzz.2025.3648751
Guanyu Lai, Liangrui Dong, Ming Li, Hanzhen Xiao
{"title":"T-S Fuzzy Models-Based Consensus Tracking For Noncanonical Nonlinear Multi-Agent Systems Using New Adaptive Distributed Observers","authors":"Guanyu Lai, Liangrui Dong, Ming Li, Hanzhen Xiao","doi":"10.1109/tfuzz.2025.3648751","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3648751","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"12 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145845139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-25DOI: 10.1109/tfuzz.2025.3648401
Lulin Zhang, Jiuxiang Dong
{"title":"Guaranteed State and Fault Interval Estimation for Local Nonlinear Takagi-Sugeno Fuzzy Systems Based on Zonotopic Analysis","authors":"Lulin Zhang, Jiuxiang Dong","doi":"10.1109/tfuzz.2025.3648401","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3648401","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"94 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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