Adaptive observer design for the uncertain Takagi-Sugeno fuzzy system with output disturbance

作     者：Dang, T. V. Wang, W. -J. Luoh, L. Sun, C. -H. 

作者机构：Natl Cent Univ Dept Elect Engn Jhongli 32001 Taiwan Chung Hua Univ Dept Elect Engn Hsinchu 10608 Taiwan Tamkang Univ Dept Mech & Electromech Engn Tamsui 25137 Taipei County Taiwan 

出 版 物：《IET CONTROL THEORY AND APPLICATIONS》 (IET Control Theory Appl.)

年 卷 期：2012年第6卷第10期

页      面：1351-1366页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

主　　题：adaptive control output disturbance Stability in control theory control system synthesis Control system analysis and synthesis methods Fuzzy control LMI Lyapunov theory fuzzy systems uncertain Takagi-Sugeno fuzzy system Self-adjusting control systems Lyapunov methods Linear algebra (numerical analysis) linear matrix inequalities augmented fuzzy model observers linear matrix inequalities tools system state Simulation, modelling and identification adaptive observer design T-S system 

摘      要：The study proposes an adaptive fuzzy observer for the uncertain Takagi-Sugeno (T-S) fuzzy system with output disturbance. First, an augmented fuzzy model is built by integrating the system state and the output disturbance together as new variables. Then, the desired adaptive fuzzy observer is designed to estimate the unavailable system state and the unknown output disturbance simultaneously. Based on Lyapunov theory and linear matrix inequalities (LMIs) tools, two main conditions are derived under which the fuzzy observer is designed. Finally, the procedure of the observer design is summarised and the effectiveness of the designed observer is demonstrated with a numerical example.