文章基本信息

标题：Interval estimation of switched Takagi-Sugeno systems with unmeasurable premise variables
本地全文：下载
作者：Yosr Garbouj ; Thach Ngoc Dinh ; Talel Zouari 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：11
页码：73-78
DOI：10.1016/j.ifacol.2019.09.120
语种：English
出版社：Elsevier
摘要：This paper deals with interval observers design for nonlinear switched systems. The nonlinear modes are represented by the Takagi-Sugeno (T-S) fuzzy models with premise variables depending on unmeasurable terms, e.g. the state vector. This T-S structure can be used to represent exactly a nonlinear switched system in a compact set of the state space. The introduced method in this paper allows to compute the lower and upper bounds of the system state under the assumption that the disturbances as well as the measurement noises are unknown but bounded. First, the stability conditions of the proposed T-S interval observers are developed via Linear Matrix Inequality (LMI) formulations to ensure the convergence of the nonnegative observation error dynamics. Then, changes of coordinates are employed to relax the restrictive requirement of nonnegativity constraints. Theoretical results are applied to a numerical example to illustrate the effectiveness of the proposed method.
关键词：KeywordsNonlinear switched systemTakagi-Sugeno modelsunmeasurable premise variablesstabilityrobustnessinterval observer design