Power Line Communication with Network Transmission Data Loss Based on Learning Control
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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.
KeywordsIterative learning control Nonlinear system Networked control systems Data dropouts
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).
All authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript. Mengji Chen is corresponding author.
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Conflict of interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
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