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Iterative learning control for nonlinear systems via closed-loop

Yan, Xinggang, Lin, Hui, Dai, Guanzhong (1997) Iterative learning control for nonlinear systems via closed-loop. Electric Machines and Control, 1 (4). pp. 241-244. ISSN 1007-449X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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Abstract

In this paper state feedback partially linearization technique is applied to designing an iterative learning control law for nonlinear systems. At first, closed-loop system formed by applying an appropriate state feedback are studied. Then, a sufficient condition guaranteeing uniform convergence of systems output to the desired output is presented. It follows that the initial state of iteration can be obtained directly by the desired output, part of which is allowed to be shift. Simulation shows the effectiveness of the result.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Xinggang Yan
Date Deposited: 13 Nov 2015 16:10 UTC
Last Modified: 01 Aug 2019 10:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/51827 (The current URI for this page, for reference purposes)
Yan, Xinggang: https://orcid.org/0000-0003-2217-8398
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