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In this paper, a nonlinear fluid flow model is used to analyze and control DiffServ Network. Backstepping design procedure is applied, which leads to a new adaptive sliding mode controller. In order to use backstepping design, the model is transformed into a parametric strict feedback form. And by using the adaptive backstepping sliding mode controller, buffer queue length regulation achieved against...
One of the fundamental issues in asynchronous transfer mode (ATM) networks is the congestion problem of information flow. Due to the complexity and variability of ATM, it is difficult to accurately describe the characteristics of source traffic. This paper presents a traffic controller to solving the congestion problem by using Q-learning conjunction with simulated annealing. In stead of relying on...
In this paper, an active queue management (AQM) algorithm is investigated based on adaptive fuzzy sliding mode control for the problem of congestion control in TCP complex systems with unknown nonlinear disturbance. A sliding surface is constructed based on Lyapunov-Krasovskii method for the particular network model, and a sufficient condition is proposed for robust asymptotic stability of the system...
The problem of minimax robust control for structured uncertain time-delay systems is dealt with. The existence conditions of minimax robust controller in the form of LMI are derived in the sense of Lyapunov theory and by the definite equivalent transform for static structured uncertain time-delay systems with multiplicative time quadratic performance cost. The convex optimization algorithm is introduced...
In this paper, an active queue management (AQM) controller is designed for the problem of congestion control. In TCP networks, the packet-dropping probability function is considered as a control input. Thus, a TCP/AQM controller is modeled as a time-delay system with a saturated input. The robust observer-based controller is designed to achieve the desired queue size and guarantee the asymptotic stability...
The two-stage unscented Kalman filter (TUKF) is proposed to consider the nonlinear system in the presence of unknown random bias in a number of practical situations. The adaptive fading UKF is designed by using the forgetting factor to compensate the effects of incomplete information. The TUKF to estimate unknown random bias is designed by using the adaptive fading UKF. This filter can be used for...
This paper addresses stability analysis and robust stabilization for nonlinear systems in the presence of parametric uncertainties. The Takagi-Sugeno (T-S) fuzzy model with parametric uncertainties is used as the model for the uncertain nonlinear system. Both continuous-time and discrete-time cases of the T-S fuzzy system are considered. In the two cases, sufficient conditions are proposed for robust...
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