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BP neural network PID controller of pocket dropout

Authors: Shuangxi Jing; Songtao Guo; Xingyu Zhao; Xiaoming Ren;

BP neural network PID controller of pocket dropout

Abstract

The loss of data packets affects seriously the stability of control system in modern network. This article mainly for the problem of packet loss uses a randomly distributed variable satisfying Bernoulli to describe the data loss during transmission, and then establishes a random and non-linear input model. A PID controller based on BP neural network is designed. The controller combines BP neural network algorithm and PID controllers effectively, to achieve the best PID control setted by BP neural network. Simulation results show that compared with the performance of traditional PID controller, the PID controller based on BP neural network can make the system owe a good control effect and show excellent environmental adaptability and robustness, when packet loss rate of the network control system is within a certain range.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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