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论文类型：期刊论文

发表时间：2011-06-01

发表刊物：INFORMATION SCIENCES

收录刊物：Scopus、SCIE、EI

卷号：181

期号：11

页面范围：2405-2421

ISSN号：0020-0255

关键字：Nonlinear systems; Backstepping control; Adaptive fuzzy control; High-gain-based observer; Output feedback control

摘要：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.