Pub Date : 2026-01-12DOI: 10.1109/TFUZZ.2026.3652183
Xinhang Li;Lin Zhao
This article proposes an adaptive fuzzy output-feedback event-triggered control approach for uncertain discrete-time nonlinear systems with mismatched disturbances. The noncausal problem in traditional discrete-time backstepping can be effectively solved by introducing a command filter into each design step, and the influence of filtering error can be reduced by building an error compensation mechanism. Based on the approximation characteristics of the fuzzy logic systems, the fuzzy state observer is established to obtain the estimation of the immeasurable states although the uncertain dynamics exist. Furthermore, the adaptive update laws are designed for the observer to estimate unknown parameters, and the adaptive controller is developed under the event-triggered mechanism with a dynamic threshold to alleviate the network communication load. The stability analysis of the closed-loop systems is accomplished by constructing weighted Lyapunov functions, excluding Zeno behavior. The validity of the proposed control approach is demonstrated by simulation results.
{"title":"Adaptive Fuzzy Output-Feedback Event-Triggered Command-Filtered Backstepping Control for Uncertain Discrete-Time Nonlinear Systems","authors":"Xinhang Li;Lin Zhao","doi":"10.1109/TFUZZ.2026.3652183","DOIUrl":"10.1109/TFUZZ.2026.3652183","url":null,"abstract":"This article proposes an adaptive fuzzy output-feedback event-triggered control approach for uncertain discrete-time nonlinear systems with mismatched disturbances. The noncausal problem in traditional discrete-time backstepping can be effectively solved by introducing a command filter into each design step, and the influence of filtering error can be reduced by building an error compensation mechanism. Based on the approximation characteristics of the fuzzy logic systems, the fuzzy state observer is established to obtain the estimation of the immeasurable states although the uncertain dynamics exist. Furthermore, the adaptive update laws are designed for the observer to estimate unknown parameters, and the adaptive controller is developed under the event-triggered mechanism with a dynamic threshold to alleviate the network communication load. The stability analysis of the closed-loop systems is accomplished by constructing weighted Lyapunov functions, excluding Zeno behavior. The validity of the proposed control approach is demonstrated by simulation results.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"34 3","pages":"1030-1036"},"PeriodicalIF":11.9,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145955254","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 : 2026-01-05DOI: 10.1109/tfuzz.2026.3650807
Jiageng Li, An-Yang Lu, Chao Deng, Jia-Nan Zhang
{"title":"Efficient Fuzzy Model Predictive Tracking Control of Nonlinear Systems: A Membership Function Approximation Approach","authors":"Jiageng Li, An-Yang Lu, Chao Deng, Jia-Nan Zhang","doi":"10.1109/tfuzz.2026.3650807","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3650807","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"44 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903148","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 : 2026-01-05DOI: 10.1109/tfuzz.2025.3647919
Yuwei Yang, Zongjie Hu, Zhijun Li
{"title":"Vision-Language-Action Model-Based Event-Triggered Admittance Control of a Mobile Manipulator for Power Substation Live-Maintaining","authors":"Yuwei Yang, Zongjie Hu, Zhijun Li","doi":"10.1109/tfuzz.2025.3647919","DOIUrl":"https://doi.org/10.1109/tfuzz.2025.3647919","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"21 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903149","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 : 2026-01-05DOI: 10.1109/tfuzz.2026.3650805
Weina Wang, Yongjie Wang, Wanquan Liu, Hui Chen
{"title":"Information Granule-Based Time Series Prediction via Synergizing Multiscale and Multitype Information Granulations","authors":"Weina Wang, Yongjie Wang, Wanquan Liu, Hui Chen","doi":"10.1109/tfuzz.2026.3650805","DOIUrl":"https://doi.org/10.1109/tfuzz.2026.3650805","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"21 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145903145","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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