Title :
Adaptive observer for a class of nonlinear uncertain systems based on fuzzy basis functions
Author :
Wang, Yong-Fu ; Chai, Tian-you ; Tong, Shao-Cheng
Author_Institution :
Autom. Res. Center, Northeastern Univ., Shenyang, China
Abstract :
In this paper, a stable adaptive observer based on FBF is proposed for uncertain nonlinear systems. The effects of uncertain term, approximation error and state estimation error are well considered, a robust control term and adaptive laws are designed to guarantee the performance of adaptive observer. Computer simulation results demonstrate the effectiveness of the proposed methods.
Keywords :
fuzzy systems; nonlinear control systems; observers; robust control; adaptive observer; approximation error; fuzzy basis functions; nonlinear uncertain systems; robust control; state estimation error; Adaptive control; Approximation error; Computer errors; Error correction; Fuzzy systems; Nonlinear systems; Observers; Programmable control; State estimation; Uncertain systems;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259630
