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Power Line Communication with Network Transmission Data Loss Based on Learning Control

  • Jianhuan Su
  • Yinjun Zhang
  • Mengji Chen
Article
  • 43 Downloads

Abstract

This paper proposed power line communication with transmission data. An iterative learning control method for the power line communication is studied by P-type learning control law. The data packet loss described as a stochastic Bernoulli process. The sufficient conditions are given for the convergence of the proposed algorithm by using the compression mapping method and norm theory. The convergence analysis guarantee the convergence of the tracking error in the sense of the \(\uplambda\)-norm. Finally, numerical simulations illustrate to verify the effectiveness of the proposed learning algorithm.

Keywords

Iterative learning control Nonlinear system Networked control systems Data dropouts 

Notes

Acknowledgements

The work was supported by the Hechi University Foundation (XJ2016ZD004), Hechi university Youth teacher Foundation (XJ2017QN08), the Projection of Environment Master Foundation (2017HJA001, 2017HJB001), The important project of the New Century Teaching Reform Project in Guangxi (2010JGZ033), Guangxi Youth teacher Foundation (2018KY0459).

Authors’ Contributions

All authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript. Mengji Chen is corresponding author.

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

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