of Fuzzy Sliding Mode Control (FSMC) based on Genetic Algorithms (GAs) roposed control strategy, a robust controller is designed for Active Queue n computer networks. AQM takes a trade-off between link utilization and ata packets. From control point of view, it is rational to regard AQM as a m. We design a fuzzy sliding mode controller for the AQM system as an nd apply the optimal searching alg...

We present a non-equilibrium analysis and control approach for the Active Queue Management (AQM) problem in communication networks. Using simplified fluid models, we carry out a bifurcation study of the complex dynamic queue behavior to show that non-equilibrium methods are essential for analysis and optimization in the AQM problem. We investigate an ergodic theoretic framework for stochastic m...

We present a non-equilibrium analysis and control approach for the Active Queue Management (AQM) problem in communication networks. Using simplified fluid models we carry out a bifurcation study of the complex dynamic queue behavior to show that non-equilibrium methods are essential for analysis and optimization in the AQM problem. We investigate an ergodic theoretic framework for stochastic mo...

We present a non-equilibrium analysis and control approach for the Active Queue Management (AQM) problem in communication networks. Using simplified fluid models we carry out a bifurcation study of the complex dynamic queue behavior to show that non-equilibrium methods are essential for analysis and optimization in the AQM problem. We investigate an ergodic theoretic framework for stochastic mo...

In recent years, several neuron-based active queue management (AQM) schemes have been proposed. Such schemes exhibit important attributes including fast convergence with high accuracy to a desired queue length. This paper presents extensive comparative simulation results for four neural AQM schemes, namely, Neuron PID, AN-AQM, FAPIDNN, NRL, versus three traditional AQM schemes (ARED, REM and PI...

We present a proactive queue-management (PQM) algorithm called GREEN that applies knowledge of the steadystate behavior of TCP connections to intelligently and proactively drop packets, thus preventing congestion from ever occurring and ensuring a higher degree of fairness between flows. This congestion-prevention approach is in contrast to the congestionavoidance approach of traditional active...

Active Queue Management (AQM) is an important problem in networking. In this paper, we propose a general functional optimization model for designing AQM schemes. Unlike the previous static function optimization models based on the artificial notion of utility function, the proposed dynamic functional optimization formulation allows us to directly characterize the desirable system behavior of AQ...

We propose a novel workload-dependent queuing model for a wireless router link which employs active queue management (AQM) and is offered with a number of persistent Transmission Control Protocol (TCP) flows. As opposed to existing work that focus only on the average queue occupancy as the performance metric of interest, the proposed analytical method obtains the more information-bearing steady...

in this paper, a state feedback h¥ controller is proposed in order to design an active queue management (aqm) system based on congestion control algorithm for networks supporting tcp protocols. in this approach, the available link bandwidth is modeled as a time-variant disturbance. the purpose of this paper is to design a controller which is capable of achieving the queue size and can guarantee...

Random Early Detection (RED) [1] is an active queue management strategy that has been deployed extensively in routers. However, its effectiveness has been limited owing to the difficulty in tuning its parameters under different network conditions. In this paper, we define the notion of an operating point that an Active Queue Management (AQM) policy should target. We suggest that the RED paramet...