Title :
Adaptive fuzzy controller for a SISO nonlinear system with state observer
Author :
Han, Hugang ; Murakami, Shuta
Author_Institution :
Dept. of Manage. & Inf. Sci., Hiroshima Prefectural Univ., Horoshima, Japan
Abstract :
This paper addresses the adaptive fuzzy control problem using the Lyapunov synthesis approach, in which the fuzzy model is viewed as the approximator, which is referred to as fuzzy approximator, to deal with the unknown functions in the plant to be controlled. In order to deal with the case that the system state is unavailable to be used in the system development, state observer involving the fuzzy approximator is proposed. It is shown that the adaptive fuzzy controller presented guarantees the tracking error, between the output of the considered system and the desired value, to be shrunken to an arbitrarily small bound asymptotically, while maintaining all signals involved in the system stable.
Keywords :
Lyapunov methods; adaptive control; fuzzy control; nonlinear control systems; observers; Lyapunov synthesis; adaptive fuzzy controller; fuzzy approximator; nonlinear system; single input single output; state observer; tracking error; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; Stability; Uncertainty; Upper bound;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7783-4
DOI :
10.1109/CIMSA.2003.1227192