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

Full text for this resource is not available from the Research Repository.

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.

Item Type:	Article
Additional Information:	Online ISSN: 1872-6291
Uncontrolled Keywords:	ResPubID19918. nonlinear systems, adaptive fuzzy controls, adaptive controllers, time-delay, Razumikhin functional, output tracking, functions
Subjects:	Current > FOR Classification > 0102 Applied Mathematics Current > 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)
Depositing User:	VUIR
Date Deposited:	22 Nov 2011 23:35
Last Modified:	22 Nov 2011 23:35
URI:	http://vuir.vu.edu.au/id/eprint/7434
DOI:	https://doi.org/10.1016/j.ins.2009.11.004
ePrint Statistics:	View download statistics for this item
Citations in Scopus:	152 - View on Scopus

Repository staff only

	View Item

Search Google Scholar