[HTML][HTML] Robust finite-time congestion control for a class of AQM network systems
K Wang, X Liu, Y Jing - Neural Computing and Applications, 2021 - Springer
K Wang, X Liu, Y Jing
Neural Computing and Applications, 2021•SpringerThis work investigates a finite-time H_ ∞ H∞ robust congestion control issue for
transmission control protocol network systems. By means of the backstepping technique,
finite-time control method and H_ ∞ H∞ control theory, a novel robust H_ ∞ H∞ 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 L 2 gain less
than or equal to a given positive real number. Comparative simulation results show that the …
transmission control protocol network systems. By means of the backstepping technique,
finite-time control method and H_ ∞ H∞ control theory, a novel robust H_ ∞ H∞ 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 L 2 gain less
than or equal to a given positive real number. Comparative simulation results show that the …
Abstract
This work investigates a finite-time robust congestion control issue for transmission control protocol network systems. By means of the backstepping technique, finite-time control method and control theory, a novel robust 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 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.
Springer
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