Title :
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
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;
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
DOI :
10.1109/CCDC.2010.5498770
