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Robust finite-time \(H_{\infty }\) congestion control for a class of AQM network systems

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Abstract

This work investigates a finite-time \(H_{\infty }\) robust congestion control issue for transmission control protocol network systems. By means of the backstepping technique, finite-time control method and \(H_{\infty }\) control theory, a novel robust \(H_{\infty }\) finite-time controller design approach is presented to guarantee the finite-time convergence of the queue tracking error. Furthermore, the closed-loop network system has an \(L_{2}\) gain less than or equal to a given positive real number. Comparative simulation results show that the proposed control method performs better than the existing control approach.

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Acknowledgements

This work is supported by National Natural Science Funds of China under Grant (61773108), China Scholarship Council (Grant No.201806080067) and the Natural Sciences and Engineering Research Council of Canada (NSERC). The authors appreciate the comments from the anonymous reviewers and Adam Johnson for proofreading this paper.

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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

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

    Kun Wang & Xiaoping Liu

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  1. Kun Wang
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  2. Xiaoping Liu
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  3. Yuanwei Jing
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Correspondence to Yuanwei Jing.

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Wang, K., Liu, X. & Jing, Y. Robust finite-time \(H_{\infty }\) congestion control for a class of AQM network systems. Neural Comput & Applic 33, 3105–3112 (2021). https://doi.org/10.1007/s00521-020-05168-z

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  • DOI: https://doi.org/10.1007/s00521-020-05168-z

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