A Discrete Model Reference Adaptive Control Using an Autoregressive Model with Dead Time of the Plant

Abstract A new method for designing a discrete model reference adaptive control system is presented. This method avoids the restriction of the minimum phase system by the adaptive controller designed for an autoregressive model with dead time of the plant. First, a stable adaptive control system is designed for an AR model with dead time, based on Lyapunov's direct method. The derived adaptation control algorithm can be implemented using only the available input-output data of the plant. Next, in order to illustrate the effectiveness of this model for many different types of plants, the results of computer simulation are given. Finally, the design parameters of the model are discussed.