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

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Chen, Bing, Liu, Xiaoping, Liu, Kefu and Shi, Peng (2010) Direct adaptive fuzzy control for nonlinear systems with time-varying delays. Information Sciences, 180 (5). pp. 776-792. ISSN 0020-0255

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.

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Additional Information	Online ISSN: 1872-6291
Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/7434
DOI	10.1016/j.ins.2009.11.004
Official URL	http://www.sciencedirect.com/science/article/pii/S...
Subjects	Historical > FOR Classification > 0102 Applied Mathematics Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Keywords	ResPubID19918. nonlinear systems, adaptive fuzzy controls, adaptive controllers, time-delay, Razumikhin functional, output tracking, functions
Citations in Scopus	165 - View on Scopus
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