Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21288
Title: State observer based indirect adaptive fuzzy tracking control
Authors: Ho, HF
Wong, YK
Rad, AB
Lo, WL
Keywords: Adaptive control
Fuzzy control
Nonlinear systems
Issue Date: 2005
Publisher: Elsevier Science Bv
Source: Simulation modelling practice and theory, 2005, v. 13, no. 7, p. 646-663 How to cite?
Journal: Simulation Modelling Practice and Theory 
Abstract: An observer based adaptive fuzzy controller for a certain class of unknown nonlinear systems is proposed in this paper. The proposed approach employs a fuzzy system to approximate the unknown nonlinear functions in designing the adaptive controller and an observer is designed to generate an error signal for the adaptive law. Moreover, a robust H∞ control law is obtained by solving a modified Riccati-like equation in order to compensate the effect of the approximated error and external disturbance of the system. It is proved that the overall adaptive scheme guarantees the global asymptotic stability in the Lyapunov sense if all the signals involved are uniformly bounded. Simulation studies show that the proposed controller performs well and exhibits good performance.
URI: http://hdl.handle.net/10397/21288
ISSN: 1569-190X
DOI: 10.1016/j.simpat.2005.02.003
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