Direct adaptive fuzzy control for nonlinear systems with time-varying delays

  • Authors:

  • Bing Chen;Xiaoping Liu;Kefu Liu;Peng Shi;Chong Lin

  • Affiliations:

  • Institute of Complexity Science, Qingdao University, Qingdao, Shandong 266071, PR China;Faculty of Engineering of Lakehead University, Thunder Bay, On, Canada;Faculty of Engineering of Lakehead University, Thunder Bay, On, Canada;School of Technology, University of Glamorgan, Pontypridd, CF37 1DL, UK;Institute of Complexity Science, Qingdao University, Qingdao, Shandong 266071, PR China

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2010

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Abstract

This paper focuses on the problem of direct adaptive fuzzy control for nonlinear strict-feedback systems with time-varying delays. Based on the Razumikhin function approach, a novel adaptive fuzzy controller is designed. The proposed controller guarantees that the system output converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. Different from the existing adaptive fuzzy control methodology, the fuzzy logic systems are used to model the desired but unknown control signals rather than the unknown nonlinear functions in the systems. As a result, the proposed adaptive controller has a simpler form and requires fewer adaptation parameters.