A synthesis of observer-based controller for stabilizing uncertain T-S fuzzy systems

機構典藏 > College of Engineering > Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering > Journal Article > Item 987654321/108246

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/108246

Title:	A synthesis of observer-based controller for stabilizing uncertain T-S fuzzy systems
Authors:	Wang, Wen-June;Vu, Van-Phong;Chang, Wei;Sun, Chung-Hsun;Yeh, Shan-Ju
Keywords:	Nonlinear system;fuzzy control system;observer-based controller;uncertainties;LMIs
Date:	2016-04-30
Issue Date:	2016-11-12 02:11:06 (UTC+8)
Publisher:	I O S Press
Abstract:	This study considers the robust stabilization problem of uncertain Takagi-Sugeno (T-S) fuzzy systems in which some or all state variables are unavailable. The considered uncertainties of the system are bounded and satisfy a certain condition. A sufficient condition for the state estimation and robust stabilization of the closed system is proposed. Based on the condition, the observer is designed and observer-based controller is synthesized. In the observer and controller synthesis process, with the aid of some special derivations, Bilinear Matrix Inequalities (BMIs) are converted into Linear Matrix Inequalities (LMIs) in one step such that LMI tools can be used to solve the problem. Finally, both numerical and practical examples are given to verify the effectiveness of the proposed approach.
Relation:	Journal of Intelligent and Fuzzy Systems 30(6), pp.3451-3463
DOI:	10.3233/IFS-162092
Appears in Collections:	[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Journal Article

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	391	View/Open