Adaptive Observer Design for a Class of Uncertainty System Based on Fuzzy Systems
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.
state observer uncertainty system fuzzy systems parameter adaptive
Wenqing Wang Na Cao
School of Automation, Xi’an University of Posts and Telecommunications, Xi’an 710061
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
2537-2542
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）