Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25907
Title: Adaptive fuzzy approach for a class of uncertain nonlinear systems in strict-feedback form
Authors: Ho, HF
Wong, YK
Rad, AB
Keywords: Adaptive control
Backstepping
Fuzzy control
Uncertain nonlinear systems
Issue Date: 2008
Publisher: Elsevier Science Inc
Source: ISA transactions, 2008, v. 47, no. 3, p. 286-299 How to cite?
Journal: ISA Transactions 
Abstract: Adaptive fuzzy control is proposed for a class of affine nonlinear systems in strict-feedback form with unknown nonlinearities. The unknown nonlinearities include two types of nonlinear functions: one satisfies the "triangularity condition" and can be directly approximated by fuzzy logic system, while the other is assumed to be partially known and consists of parametric uncertainties. Takagi-Sugeno type fuzzy approximators are used to approximate unknown system nonlinearities and the design procedure is a combination of adaptive backstepping and generalized small gain design techniques. It is proved that the proposed adaptive control scheme can guarantee the uniformly ultimately bounded (UBB) stability of the closed-loop systems. Simulation studies are shown to illustrate the effectiveness of the proposed approach.
URI: http://hdl.handle.net/10397/25907
DOI: 10.1016/j.isatra.2008.03.002
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