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Type: Journal article
Title: Observer-based adaptive fuzzy backstepping output feedback control of uncertain MIMO pure-feedback nonlinear systems
Author: Tong, S.
Li, Y.
Shi, P.
Citation: IEEE Transactions on Fuzzy Systems, 2012; 20(4):771-785
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2012
ISSN: 1063-6706
Statement of
Shaocheng Tong, Yongming Li, and Peng Shi
Abstract: This paper is concerned with the problem of adaptive fuzzy tracking control for a class of uncertain multiple-input-multiple-output (MIMO) pure-feedback nonlinear systems with immeasurable states. The dynamic output feedback strategy begins with a state observer. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions. The filtered signals are introduced to circumvent algebraic loop problem encountered in the implementation of the controller, and an adaptive fuzzy output feedback is obtained via a backstepping recursive design technique. It is shown that the proposed control law can guarantee that all the signals of the resulting closed-loop system are semiglobally uniformly ultimately bounded and that the observer and tracking errors converge to a small neighborhood of the origin. Simulation studies are included to illustrate the effectiveness and potentials of the proposed techniques.
Keywords: Adaptive output feedback control; backstepping design; fuzzy logic systems (FLSs); nonlinear multiple-input– multiple-output (MIMO) systems; state observer.
Rights: © 2012 IEEE
RMID: 0020127412
DOI: 10.1109/TFUZZ.2012.2183604
Appears in Collections:Electrical and Electronic Engineering publications

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