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JACIII Vol.18 No.6 pp. 908-917
doi: 10.20965/jaciii.2014.p0908
(2014)

Paper:

Discrete Sliding-Mode Control for a Class of T-S Fuzzy Models with Modeling Error

Hugang Han* and Hak-Keung Lam**

*Prefectural University of Hiroshima, 1-1-71 Ujina-Higashi, Minami-ku, Hiroshima 734-8558, Japan

**King’s College London, Strand, London, WC2R 2LS, UK

Received:
April 18, 2014
Accepted:
August 6, 2014
Published:
November 20, 2014
Keywords:
adaptive control, discrete nonlinear systems, fuzzy approximator, sliding mode control, stability analysis
Abstract

This paper proposes a discrete sliding-mode controller for a class of nonlinear systems described by a T-S fuzzy model subject to modeling error, which may influence the system performance and the overall system stability. While most of existing literature treats the modeling error under the so-called parallel distributed compensation framework by using some norm-bounded matrices, the proposed control scheme in this paper integrates a feedback component, which mainly consists of fuzzy approximators to deal with the modeling error and an auxiliary component of the variable structure control with a sector to guarantee the global stability of the closed-loop system when the system state travels outside the sector. With the consideration of system stability, adaptive laws adjusting the parameters in the system are developed based on the Lyapunov synthesis approach. Finally, simulation results will confirm the effectiveness of the approach proposed in this paper.

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