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Event-triggered network congestion control of TCP/AWM systems

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Abstract

For the nonlinear TCP/AWM network congestion control system with external disturbances, under the framework of backstepping control method, an adaptive network congestion control strategy based on event-triggered mechanism is proposed. This strategy reduces the waste of network resources by introducing an event-triggered mechanism and uses RBF neural network to deal with external disturbances. The Lyapunov theory is used to prove that all signals in the closed-loop system are bounded. Finally, the proposed method is verified by simulation and is compared with PID, which further verifies the effectiveness of the proposed control method.

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Acknowledgements

This work is supported by the National Natural Science Funds of China (Grant No.61773108).

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Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning, People’s Republic of China

    Yun Bai & Yuanwei Jing

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  1. Yun Bai
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  2. Yuanwei Jing
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Correspondence to Yuanwei Jing.

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Bai, Y., Jing, Y. Event-triggered network congestion control of TCP/AWM systems. Neural Comput & Applic 33, 15877–15886 (2021). https://doi.org/10.1007/s00521-021-06209-x

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  • DOI: https://doi.org/10.1007/s00521-021-06209-x

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