Tássio M. Linhares;Eduardo S. Tognetti;Taís R. Calliero
{"title":"Output Feedback Control With Inexact Premise Variables of T-S Fuzzy Systems","authors":"Tássio M. Linhares;Eduardo S. Tognetti;Taís R. Calliero","doi":"10.1109/TSMC.2024.3521369","DOIUrl":null,"url":null,"abstract":"This work addresses the problem of designing dynamic output feedback controllers for Takagi-Sugeno (T-S) fuzzy systems subjected to inexact measurements of premise variables. Instead of assuming that the premise variables are precisely available for the controller, this work provides linear matrix inequalities (LMIs) conditions to design controller gains depending on premise variables with additive uncertainties. This uncertainty model includes inexact measurements of the premise variables due to sensor devices or an approximate representation in the T-S modeling, which can assume the form of absolute uncertainties in the membership functions. Numerical examples illustrate the robustness of the approach.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 3","pages":"2380-2386"},"PeriodicalIF":8.6000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10827815/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Output Feedback Control With Inexact Premise Variables of T-S Fuzzy Systems
This work addresses the problem of designing dynamic output feedback controllers for Takagi-Sugeno (T-S) fuzzy systems subjected to inexact measurements of premise variables. Instead of assuming that the premise variables are precisely available for the controller, this work provides linear matrix inequalities (LMIs) conditions to design controller gains depending on premise variables with additive uncertainties. This uncertainty model includes inexact measurements of the premise variables due to sensor devices or an approximate representation in the T-S modeling, which can assume the form of absolute uncertainties in the membership functions. Numerical examples illustrate the robustness of the approach.
期刊介绍:
The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.