Adaptive observer design for a class of uncertainty system based on fuzzy systems

Author

Wang, Wenqing ; Cao, Na

Author_Institution

Sch. of Autom., Xi´´an Univ. of Posts & Telecommun., Xi´´an, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2537

Lastpage

2542

Abstract

A novel states observer design method for a class of nonlinear uncertainty systems is proposed. A fuzzy system is constructed to approximate the uncertainties which are centralized firstly to control the complexity of approximating scheme. The output of fuzzy systems is directly used in synthesizing the robust terms, and its parameters can be automatically adjusted by adaptive laws. Based on Lyapunov´s direct method, all states estimate errors and parameters estimate errors are guaranteed to stay uniformly ultimately bounded. Comparing with the known results, some assumption is weakened by the method. The simulation shows the validity of proposed method.

Keywords

Lyapunov methods; adaptive systems; fuzzy systems; nonlinear systems; observers; parameter estimation; Lyapunov direct method; adaptive laws; adaptive observer design; approximating scheme; fuzzy systems; nonlinear uncertainty systems; parameters estimate errors; robust terms; states estimate errors; states observer design; Automatic control; Centralized control; Control system synthesis; Control systems; Design methodology; Fuzzy systems; Parameter estimation; Robustness; State estimation; Uncertainty; fuzzy systems; parameter adaptive; state observer; uncertainty system;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498770

Filename

5498770