On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems

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112 Citations (Scopus)

Abstract

In this paper, the adaptive fuzzy-neural controllers tuned on-line for a class of unknown nonlinear dynamical systems are proposed. To approximate the unknown nonlinear dynamical systems, the fuzzy-neural approximator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore, the control performance of the controller is improved. Several examples are simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper.

Original languageEnglish
Pages (from-to)1034-1043
Number of pages10
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume27
Issue number6
DOIs
Publication statusPublished - 1997 Dec 1

Keywords

  • Adaptive fuzzy-neural controller
  • Local tuning
  • On-line tuning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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