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author:

Zhang, L.-P. (Zhang, L.-P..) [1] (Scholars:张丽萍) | Yang, F.-W. (Yang, F.-W..) [2]

Indexed by:

Scopus PKU CSCD

Abstract:

An iterative learning control (ILC) algorithm based on orthogonal polynomials was developed to address the trajectory tracking of T-S fuzzy systems. First, the method derived equivalence system of T-S fuzzy system. Then, the differential equations of equivalence system were reduced to a set of linear algebraic equations by employing orthogonal polynomials expansion and the operational matrix of integration of orthogonal polynomials. The orthogonal polynomials' coefficients of control function were adjusted by an iterative learning law. The proposed algorithm could only use the error signals to update the control input for nonlinear system with arbitrary relative degree. Simulation results demonstrate the effectiveness of the new method.

Keyword:

Iterative learning control; Nonlinear system; Orthogonal polynomials; T-S fuzzy system

Community:

  • [ 1 ] [Zhang, L.-P.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Yang, F.-W.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • 张丽萍

    [Zhang, L.-P.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

Email:

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Source :

Journal of System Simulation

ISSN: 1004-731X

CN: 11-3092/V

Year: 2009

Issue: 1

Volume: 21

Page: 199-203

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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