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Direct adaptive fuzzy control for nonlinear systems with time-varying delays
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 |
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Additional Information: | Online ISSN: 1872-6291 |
Uncontrolled Keywords: | ResPubID19918. nonlinear systems, adaptive fuzzy controls, adaptive controllers, time-delay, Razumikhin functional, output tracking, functions |
Subjects: | FOR Classification > 0102 Applied Mathematics FOR Classification > 0802 Computation Theory and Mathematics SEO Classification > 970108 Expanding Knowledge in the Information and Computing Sciences 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: | 147 - View on Scopus |
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