Bibliographische Detailangaben
| Titel: |
Adaptive finite-time congestion controller design of TCP/AQM systems based on neural network and funnel control. |
| Autoren: |
Wang, Kun, Jing, Yuanwei, Liu, Yang, Liu, Xiaoping, Dimirovski, Georgi M. |
| Quelle: |
Neural Computing & Applications; Jul2020, Vol. 32 Issue 13, p9471-9478, 8p |
| Schlagwörter: |
TCP/IP, CLOSED loop systems, SLIDING mode control, ADAPTIVE control systems, ELECTRIC transients |
| 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 t converges to the prescribed boundary in finite time and the transient and steady-state performances of e 1 t 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. [ABSTRACT FROM AUTHOR] |
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