抄録
This paper presents a discrete model reference adaptive control scheme for a class of multiinput multi-output linear plants, based on the concept of augmented error. In this scheme the output error between the reference model and the plant is transformed into an augmented error expressed by a simple equation, by introducing an auxiliary signal vector and adjustable parameter matrices. Applying Liapunov's direct method to the augmented error equation yields a parameter-adjustment law which ensures an asymptotic stability of the augmented error vector. Corresponding to this adjustment law, the plant input and the auxiliary signal are synthesized so as to ensure that the output error vector between the model and the plant approaches zero asymptotically. The derived adaptive control algorithm can be implemented by using only available input-output data of the plant. The effectiveness of the proposed scheme is demonstrated by the computer simulations carried out for a two-input two-output linear plant.
