A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of Nonlinear Multi-Input/Multi-Output Systems

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Detail(s)

Original languageEnglish
Article number5352263
Pages (from-to)150-160
Journal / PublicationIEEE Transactions on Fuzzy Systems
Volume18
Issue number1
Online published11 Dec 2009
Publication statusPublished - Feb 2010

Abstract

Robust adaptive-fuzzy-tracking control of a class of uncertain multi-input/multi-output nonlinear systems with coupled interconnections is considered in this paper. Takagi-Sugeno (T-S) fuzzy systems are used to approximate the unknown system functions. A novel adaptive-control scheme is developed on the basis of the so-called "dynamic-surface control" and "minimal-learning parameters" techniques. The proposed scheme has following two key features. First, the number of parameters updated online for each subsystem is reduced to one, and both problems of "curse of dimension" for high-dimensional systems and "explosion of complexity" inherent in the conventional backstepping methods are circumvented. Second, the potential controller-singularity problem in some of the existing adaptive-control schemes with feedback-linearization techniques is overcome. It is shown via Lyapunov theory that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded. Finally, simulation results via two examples are presented to demonstrate the effectiveness and advantages of the proposed scheme.

Research Area(s)

  • Adaptive-fuzzy control, Dynamic-surface control (DSC), Minimum-learning parameters (MLPs), Uncertain multi-input/multi-output (MIMO) systems