Journal of Northeastern University(Natural Science) ›› 2022, Vol. 43 ›› Issue (12): 1673-1679.DOI: 10.12068/j.issn.1005-3026.2022.12.001

• Information & Control •     Next Articles

Event Triggering Control of TCP/AQM Network System with Input Saturation

JING Yuan-wei, LIU Yan-tong, XIE Hai-xiu   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Published:2022-12-26
  • Contact: JING Yuan-wei
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Abstract: The TCP/AQM network congestion control problem with user datagram protocol(UDP) data flow interference and uncertain terms is dealt with. Firstly, the problem of input saturation due to the range of packet loss rate is considered to limit the packet loss rate. Secondly, the fuzzy approximation method is used to deal with the interference and uncertain items in the system. In order to save network resources, an event trigger mechanism is introduced. Combining the input saturation, the fuzzy approximation and Backstepping technology, an active queue management algorithm is proposed, which can not only track the queue length to the expected queue length, but also reduce the numbers of triggers and save network resources. Finally, simulation verification and analysis show the effectiveness and superiority of the proposed method.

Key words: TCP/AQM network system; congestion control; input saturation; fuzzy approximation; event triggering

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