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Indexed by:期刊论文

Date of Publication:2011-06-01

Journal:INFORMATION SCIENCES

Included Journals:Scopus、SCIE、EI

Volume:181

Issue:11

Page Number:2405-2421

ISSN No.:0020-0255

Key Words:Nonlinear systems; Backstepping control; Adaptive fuzzy control; High-gain-based observer; Output feedback control

Abstract:In this paper, a new fuzzy adaptive control approach is developed for a class of SISO strict-feedback nonlinear systems, in which the nonlinear functions are unknown and the states are not available for feedback. By fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive high-gain observer is designed to estimate the unmeasured states. Under the framework of the backstepping design, fuzzy adaptive output feedback control is constructed recursively. It is shown that the proposed fuzzy adaptive control approach guarantees the semi-global boundedness property for all the signals of the resulting closed-loop system. Simulation results are included to illustrate the effectiveness of the proposed techniques. (C) 2011 Elsevier Inc. All rights reserved.