Lin Xiao, Dan Wang, Qiuyue Zuo, Xiangru Yan, Hang Cai
{"title":"A ZNN-Based Solver With Adaptive Input Range Fuzzy Logic System for Time-Varying Algebraic Riccati Equation","authors":"Lin Xiao, Dan Wang, Qiuyue Zuo, Xiangru Yan, Hang Cai","doi":"10.1109/tfuzz.2024.3491194","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3491194","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"242 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580411","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}
{"title":"Observer-Based Optimal Fuzzy Control for Networked IT-2 Fuzzy Systems Against Hybrid Cyber-Attacks","authors":"Yang Li, Ju H. Park, Yang Gu, Yong He","doi":"10.1109/tfuzz.2024.3488678","DOIUrl":"https://doi.org/10.1109/tfuzz.2024.3488678","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"54 1","pages":""},"PeriodicalIF":11.9,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561892","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}
{"title":"IEEE Transactions on Fuzzy Systems Publication Information","authors":"","doi":"10.1109/TFUZZ.2024.3480373","DOIUrl":"10.1109/TFUZZ.2024.3480373","url":null,"abstract":"","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 11","pages":"C2-C2"},"PeriodicalIF":10.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10740462","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Switched Command-Filtered-Based Adaptive Fuzzy Output-Feedback Funnel Control for Switched Nonlinear MIMO-Delayed Systems","authors":"Zhenhua Li;Hongtian Chen;Hak-Keung Lam;Wentao Wu;Weidong Zhang","doi":"10.1109/TFUZZ.2024.3434711","DOIUrl":"10.1109/TFUZZ.2024.3434711","url":null,"abstract":"In this article, we consider the problem of switched-command-filtered-based adaptive fuzzy output-feedback funnel control for switched nonlinear multi-input multi-output (MIMO) delayed systems. A switched MIMO high-gain state observer is constructed for each subsystem to estimate unavailable system states. Compared with the conventional command filter technique, the main advantage is that the improved error-compensating signals are designed for each switched subsystem to remove the filtered errors and avoid an explosion of complexity and the singularity problem. Different from the traditional Lyapunov--Krasovskii functional method, design obstacles stemming from unknown time delays are overcome for the switched delayed systems by using appropriate multiple Lyapunov--Krasovskii functions and combining with the approximation capability of the fuzzy logic systems. Under a category of switching signals with mode-dependent average dwell time, all signals in the closed-loop switched system are semiglobally uniformly ultimate bounded under the output-feedback control; meanwhile, the tracking errors can remain in prespecified performance funnels. Case studies illustrate the flexibility and effectiveness of the proposed control approach.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 11","pages":"6560-6572"},"PeriodicalIF":10.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561890","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}
{"title":"Fault Detection of Unmanned Surface Vehicles: The Fuzzy Multiprocessor Implementation","authors":"Xiang Zhang;Shuping He;Zhihuan Hu;Ruonan Liu;Hongtian Chen;Weidong Zhang","doi":"10.1109/TFUZZ.2024.3450687","DOIUrl":"10.1109/TFUZZ.2024.3450687","url":null,"abstract":"In this article, we study the fault detection problem of unmanned surface vehicles through the implementation of fuzzy multiprocessors. By employing the Takagi–Sugeno fuzzy technique, the linear approximation of unmanned surface vehicles is obtained, and a fuzzy multiprocessor architecture is proposed to estimate the state of unmanned surface vehicles. With the residual signal generated by multiprocessors, a detection logic is designed to realize the fault detection. Based on the Lyapunov method, sufficient conditions are given to ensure that the error dynamic system is asymptotically stable and meets the given \u0000<inline-formula><tex-math>$H_{infty }$</tex-math></inline-formula>\u0000 and \u0000<inline-formula><tex-math>$H_$</tex-math></inline-formula>\u0000 performance. Assisted by genetic algorithms, a two-step optimization algorithm is proposed to optimize the mixed \u0000<inline-formula><tex-math>$H_{infty }$</tex-math></inline-formula>\u0000 and \u0000<inline-formula><tex-math>$H_$</tex-math></inline-formula>\u0000 performance. Finally, case studies are provided to verify the effectiveness and superiority of the proposed method.","PeriodicalId":13212,"journal":{"name":"IEEE Transactions on Fuzzy Systems","volume":"32 11","pages":"6573-6582"},"PeriodicalIF":10.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561894","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}