Aimed at developing a new resource allocation technique using adaptive feedback control for web cache systems which are inherently dynamic and have multiple inputs, multiple outputs and parameter uncertainties as well, the rst goal achieved in this paper is to develop a multivariable discrete-time model reference adaptive control (MRAC) scheme with relaxed design conditions based on an LDU deco...

The advantage of the Model Reference Adaptive Scheme is to establish robustness with respect to bounded disturbances and unmodeled dynamics. In the model reference adaptive system (MRAS), the desired index of performance is given by the reference model. The tracking error represents the deviation of the plant output from the desired trajectory. The adaptive control without having robustness pro...

In recent years there has been much eeort to develop the theoretical aspects of neural MRAC-Control, that is to nd conditions under which an unknwon process can be identiied by an input-output model and controllers can be trained by gradient descent ((3],,6]). On the other hand, the application of neural network techniques to real world control of nonlinear dynamical systems has been of substan...

This paper proposes a unified frame work for identification and control using time moments(TM) in which delta operator is used. Dynamic systems modelling with delta operator provides a unified framework in rapprochement between discrete-time systems and its continuous-time counterpart at fast sampling The theory of delta time moments(DTM) is utilized to develop algorithms for load frequency con...

This work presents a control strategy using a network with radial basis function (RBF network) with adaptation in dual mode. The objective of the strategy is to use the approximate capacity of the RBF network to control nonlinear systems with unknown parameters or with uncertainties. The proposed control uses the structure of Model Reference Adaptive Control (MRAC) and a RBF network whose param...

In one hand, the Model Reference Adaptive Control (MRAC) architecture has been widely used in linear adaptive control field. The control objective is to adjust the control signal in a stable manner so that the plant’s output asymptotically tracks the reference model’s output. The performance will depend on the choice of a suitable reference model and the derivation of an appropriate learning sc...

Solving a tracking problem does not always give desired results even when the adaptive control methods are used. Some difficulties may occur when the apriori assumptions laid down for the problem solution are not satisfied. One of the serious issues is the existence of unmodeled dynamics in the tracking problem. The proposed solutions are mainly based on robustification of the adaptation law. I...

in this work, we present a new strategy of direct adaptive control denoted: Extended minimal controller synthesis (EMCS). This algorithm is designed for an induction motor, which includes both electrical and mechanical dynamics under the assumptions of linear magnetic circuits. The main motivation of the EMCS control is to enhance the robustness of the MRAC algorithms, i.e. the rejection of bou...