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Cluster Computing
Published in: Cluster Computing 3/2019

21-02-2018

Iterative learning control for a class of parabolic system fault diagnosis

Authors: Yinjun Zhang, Yinghui Li, Jianhuan Su

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

The paper focuses on the fault detection problem for a class of parabolic system. Main goal is to use iterative learning control algorithm to detect faults. Then, by constructing a novel control strategy depending on P-type learning law. In this way, the control strategy can ensure the convergence of fault error and residual signal with iterative number, the uniform convergence of the learning control algorithm is obtained from the sufficient conditions and the detail proof is given. Finally, the effectiveness of the proposed method is demonstrated by an example.
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Metadata
Title
Iterative learning control for a class of parabolic system fault diagnosis
Authors
Yinjun Zhang
Yinghui Li
Jianhuan Su
Publication date
21-02-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1898-4

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