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Adaptive finite-time congestion controller design of TCP/AQM systems based on neural network and funnel control

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Abstract

This work investigates an adaptive finite-time congestion control problem of transmission control protocol/active queue management. By means of the funnel control, neural networks and sliding mode control, a new AQM algorithm is proposed to ensure that the tracking error \(e_{1}\left( t\right) \) converges to the prescribed boundary in finite time and the transient and steady-state performances of \(e_{1}\left( t\right) \) can be satisfied. The stability analysis is given to prove that all the signals of the closed-loop system are finite-time bounded. Finally, a comparison example is considered to demonstrate the feasibility and superiority of the presented scheme.

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Acknowledgements

This work is supported by The National Natual 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

    Kun Wang, Yuanwei Jing & Yang Liu

  2. Department of Electrical Engineering, Lakehead University, Thunder Bay, P7B 5E1, Canada

    Xiaoping Liu

  3. School of Engineering Department, Dogus University, 34722, Acibadem, Istanbul, Turkey

    Georgi M. Dimirovski

  4. School FEIT, SS Cyril and Methodius University, Karpos 2, Skopje, 1000, Republic of Macedonia

    Georgi M. Dimirovski

Authors
  1. Kun Wang
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  2. Yuanwei Jing
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  3. Yang Liu
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  4. Xiaoping Liu
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  5. Georgi M. Dimirovski
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Correspondence to Yuanwei Jing.

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Wang, K., Jing, Y., Liu, Y. et al. Adaptive finite-time congestion controller design of TCP/AQM systems based on neural network and funnel control. Neural Comput & Applic 32, 9471–9478 (2020). https://doi.org/10.1007/s00521-019-04459-4

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  • DOI: https://doi.org/10.1007/s00521-019-04459-4

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