Cluster Computing

, Volume 22, Supplement 3, pp 6209–6217 | Cite as

Iterative learning control for a class of parabolic system fault diagnosis

  • Yinjun ZhangEmail author
  • Yinghui LiEmail author
  • Jianhuan Su


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.


Iterative learning control Parabolic system Fault diagnosis 



The work was supported by the Hechi University Foundation (XJ2016ZD004) and was supported by the Projection of Environment Master Foundation (2017HJA001).

Compliance with ethical standards

Conflict of interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Aeronautics and Astronautics Engineering InstituteAir Force Engineering UniversityXi’anChina
  2. 2.School of Physics and Electrical EngineeringHechi UniversityYizhouChina

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