{"title":"Observer-based non-fragile H∞ control for discrete-time Takagi–Sugeno fuzzy systems","authors":"Wenqi Shen , Peng Shi , Tien-Fu Lu , Xin Yuan","doi":"10.1016/j.jfranklin.2025.107704","DOIUrl":null,"url":null,"abstract":"<div><div>Traditional methods frequently fail to address the coupling problem between control and observation gains in controller design, leading to increased complexity and conservatism in the design process. Moreover, in many practical scenarios, system state variables are often only partially observable, necessitating the development of output feedback-based controllers. This paper focuses on designing a non-fragile <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> output feedback controller for discrete-time uncertain nonlinear systems, which are modeled using the Takagi–Sugeno (T–S) fuzzy framework. Given that the system states are only partially observable, a fuzzy observer is implemented to estimate the missing states. A Lyapunov function is constructed to derive the stability criterion for the augmented system, which is expressed by linear matrix inequalities (LMI). To tackle the dual coupling issue between control and observation gains, a novel decoupling method is introduced, leading to a co-design strategy. A practical example of the inverted pendulum is used to verify the potential and effectiveness of the proposed new design techniques.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 9","pages":"Article 107704"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225001978","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Traditional methods frequently fail to address the coupling problem between control and observation gains in controller design, leading to increased complexity and conservatism in the design process. Moreover, in many practical scenarios, system state variables are often only partially observable, necessitating the development of output feedback-based controllers. This paper focuses on designing a non-fragile output feedback controller for discrete-time uncertain nonlinear systems, which are modeled using the Takagi–Sugeno (T–S) fuzzy framework. Given that the system states are only partially observable, a fuzzy observer is implemented to estimate the missing states. A Lyapunov function is constructed to derive the stability criterion for the augmented system, which is expressed by linear matrix inequalities (LMI). To tackle the dual coupling issue between control and observation gains, a novel decoupling method is introduced, leading to a co-design strategy. A practical example of the inverted pendulum is used to verify the potential and effectiveness of the proposed new design techniques.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.