Nonlinear system identification via Laguerre network based fuzzy systems

Alci M. , ASYALI M. H.

FUZZY SETS AND SYSTEMS, vol.160, no.24, pp.3518-3529, 2009 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 160 Issue: 24
  • Publication Date: 2009
  • Doi Number: 10.1016/j.fss.2009.09.016
  • Title of Journal : FUZZY SETS AND SYSTEMS
  • Page Numbers: pp.3518-3529
  • Keywords: Nonlinear dynamical system, Wiener model, Fuzzy system identification, Laguerre bases

Abstract

In this study, identification of nonlinear systems via Laguerre network based fuzzy model is introduced. We first describe the proposed modeling approach in detail and suggest a fast learning scheme for its training. The proposed approach is applied in three dynamic system modeling problems including Box-Jenkins gas furnace data and forced Van der Pol oscillator. When we compare the performance of the proposed approach against the classical Sugeno and adaptive network based fuzzy inference system modeling, our approach is found to have superior modeling performance and generalization capability. (C) 2009 Elsevier B.V. All rights reserved.