Abstract
The application of modern control theory to the regulation of industrial processes has lead to the development of adaptive control of plants whose parameters are uncertain and possibly time-varying. In order to obtain a real-time control law, it is mandatory to use models as simple as possible without loosing the relevant properties of the plant and adopt simple sub-optimal solutions. For these reasons the one-step minimum variance control has been extensively discussed in the literature. On the other hand one of its main drawbacks is that the dual effect of the control action is lost. The main goal of this paper is to develop a new dual control algorithm which can be easily implemented and perform favorably with respect to the dual control algorithms already proposed in the literature.
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