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Fixed-time Congestion Tracking Control for a Class of Uncertain TCP/AQM Computer and Communication Networks

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  • Control Theory and Applications
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Abstract

The fixed-time congestion control problem of TCP/AQM networks with UDP flows and un-modeled uncertainties has been studied thoroughly in this paper. The fluid-flow based TCP/AQM network system model is analyzed, and a fixed-time adaptive congestion control algorithm is proposed for the nonlinear network system model with unknown UDP flows and un-modeled uncertainty. The new control algorithm was derived using combined requirements for the fixed-time control and the prescribed performance control by employing the back-stepping technique and the fuzzy approximation methodology. The universal approximation property of fuzzy-logic system models is used to deal with the external disturbance and the uncertainty that may appear in the network system. Using the prescribed performance technology, the transient and steady state performances of the tracking error are shown to have been enforced to meet the design requirements. Using the back-stepping methodology, a fixed-time AQM controller is designed so as to ensure that the fixed time of the closed-loop system response remains bounded. The obtained simulation results demonstrate the extent of effectiveness and superiority of the proposed design relative to known previous results.

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Funding

This work has been supported by the National Natural Science Foundation of China (grant number 61773108).

Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China

    Jindong Shen & Yuanwei Jing

  2. Faculty of Electrical Engineering and Information Technologies, SS Cyril and Methodius University, Skopje, Macedonia

    Georgi Marko Dimirovski

Authors
  1. Jindong Shen
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  2. Yuanwei Jing
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  3. Georgi Marko Dimirovski
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Corresponding author

Correspondence to Yuanwei Jing.

Additional information

Jindong Shen received his B.S. degree from the School of Electrical Engineering Information, Northeast Petroleum University. He is currently pursuing an M.S. degree in the College of Information Science and Engineering, Northeastern University, Shenyang, China. His current research interests include congestion control, finite/fixed time control, and adaptive control.

Yuanwei Jing received his B.S. degree in mathematics from Liaoning University, Liaoning, China, in 1981, and his M.S. and Ph.D. degrees in automatic control from Northeastern University, Shenyang, China, in 1984 and 1988, respectively. From 1998 to 1999, he was a Senior Visiting Scholar with the Computer Science Telecommunication Program of University Missourił Kansas City. He is currently with the School of Information Science and Engineering, Northeastern University. His current research interests include control problems in modern communication network systems, networks traffic management, analysis and control, control of flight craft and analysis and control of large-scale complex nonlinear systems.

Georgi Marko Dimirovski received his B.S. degree in electrical engineering from St. Cyril & St. Methodius University of Skopje, Macedonia in 1966, an M.S. degree in electrical & electronic engineering from the University of Belgrade, Serbia in 1974, and a Ph.D. degree in automatic control from the University of Bradford, Bradford, England in 1977. He has contributed: One research monograph with Springer International he edited; 17 chapters in research monograph1 17; and more than 100 journal articles as well as more than 360 papers in the IEEE and IFAC proceedings series alone. Currently, his research interests are focused on complex dynamic networks and systems, fuzzy-logic and neuralnetwork topics of applied computational intelligence, and switched systems and switching control.

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Shen, J., Jing, Y. & Dimirovski, G.M. Fixed-time Congestion Tracking Control for a Class of Uncertain TCP/AQM Computer and Communication Networks. Int. J. Control Autom. Syst. 20, 758–768 (2022). https://doi.org/10.1007/s12555-020-0463-0

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  • DOI: https://doi.org/10.1007/s12555-020-0463-0

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