Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems

Authors:
Changying Li;Shaocheng Tong;Wei Wang
Affiliations:
Research Center of Information and Control, Dalian University of Technology, Dalian, 116023, China;Department of Mathematics and Physics, Liaoning University of Technology, Jinzhou, 121001, China;Research Center of Information and Control, Dalian University of Technology, Dalian, 116023, China
Venue:
Information Sciences: an International Journal
Year:
2011

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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.