Abstract
It is well known that modelling and control design problems are not independent, and are inevitably iterative in nature. In this paper, an iterative identification and controller design scheme is presented. A new selective q-Markov COVER identification method is introduced for closed-loop identification and model reduction. To accommodate bounded actuators the Input Variance Constraint control technique is used for controller design. The iterative process continues until the controller and the identified model are "consistent".
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