A new robust AQM strategy for dynamically varying TCP/AQM networks is proposed. The developed AQM is designed based on Coefficient Diagram Method (CDM), which is a new indirect pole placement approach that considers t...
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This paper develops methodology and technique tor the design, analysis, and impie mentation of an adaptive generalized predictive controller (AGPC) for Active Queue Management in TCP Networks. The TCP/AQM dynamic is m...
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A self tuning adaptive control algorithm called Adaptive Queue control (AQC) has been proposed for active queue management (AQM) in TCP networks. This scheme exploits online estimates of the network parameters in the ...
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A self tuning adaptive control algorithm called adaptive queue control (AQC) has been proposed for active queue management (AQM) in TCP networks. This scheme exploits online estimates of the network parameters in the ...
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A self tuning adaptive control algorithm called adaptive queue control (AQC) has been proposed for active queue management (AQM) in TCP networks. This scheme exploits online estimates of the network parameters in the control parameters adjustment rule. AQC, as a queue-based control mechanism, responds quickly to traffic changes, thus allowing for high utilization and small loss. It can effectively stabilize the queue length around target level. We illustrate our results using ns-2 simulations and demonstrate the practical impact of self tuning control on managing queue utilization and delay
Predictive functional controller originally developed based on a first order reference model. In this paper, the related equation of the predictive functional control is derived for an arbitrary reference model and th...
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Predictive functional controller originally developed based on a first order reference model. In this paper, the related equation of the predictive functional control is derived for an arbitrary reference model and then a simple approach to tune different parameters of the controller is examined by applying the controller on a benchmark problem. Finally, the robustness of the design is improved using the so called Youla parameterization approach
This paper presents chaos synchronization between two different chaotic systems when the parameters of the drive and response systems are fully unknown and uncertain. Based on Lyapunov stability theory, an adaptive co...
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This paper presents chaos synchronization between two different chaotic systems when the parameters of the drive and response systems are fully unknown and uncertain. Based on Lyapunov stability theory, an adaptive control law is designed such that the two different chaotic systems are to be synchronized. The proposed technique is applied to achieve chaos synchronization for the Chen and Lorenz dynamical systems. Numerical simulations are implemented to verify the results
The performance of a new robust AQM strategy for dynamically varying TCP/AQM networks is proposed. Network variations include in both network topology and traffic variations. The developed AQM is designed based on coe...
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The performance of a new robust AQM strategy for dynamically varying TCP/AQM networks is proposed. Network variations include in both network topology and traffic variations. The developed AQM is designed based on coefficient diagram method (CDM), which is a new indirect pole placement method that considers the speed, stability and robustness of the closed loop system in terms of time domain specifications. Simulation results show different features of the proposed method
This paper addresses the problem of increasing robustness, with respect to real parameter variations, for a satellite with large flexible appendages. A first control law is designed using, for example, a classical fre...
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This paper addresses the problem of increasing robustness, with respect to real parameter variations, for a satellite with large flexible appendages. A first control law is designed using, for example, a classical frequency-domain method. Subsequently, robustness is improved iteratively, using the (μ-Mu)-iteration technique, which is based on alternating between real μ-analysis and modal Multi-model design.
This paper applies model based predictive control (MFC) to the scheduling problem in routers to guarantee QoS in DiffServ architecture. Model predictive control is a form of control in which the current control action...
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This paper applies model based predictive control (MFC) to the scheduling problem in routers to guarantee QoS in DiffServ architecture. Model predictive control is a form of control in which the current control action is obtained by solving a finite horizon open-loop optimal control problem at each sampling interval. It intrinsically supports constraints handling and smoothens the control action over hard conditions. We used the RLS algorithm to obtain an adaptive auto regressive exogenous (ARX) model, which is used by MPC to guarantee proportional delay. Simulation results show that the proposed algorithm can be used as a solution for the scheduling problem to guarantee QoS parameters like proportional delay in different traffic loads
A novel concept of feedback loop design for modal test and model updating is proposed. This method uses the closed-loop frequency information for parameter modifications to overcome the problems associated with the co...
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