Increasing industrial competence suggests to develop and implement more complex control strategies in manufacturing environments for achieving better performance requirements. In this paper, a multi-estimation scheme for adaptive discrete control is applied to a practical milling system in order to minimize process and machine malfunctions. The different models of the scheme to be estimated are obtained from a set of a continuous unknown milling system transfer function under a fractional order hold of correcting gain 脽 [-1,1](脽-FROH). The objective is to design a scheme which is able to find the best value for the gain 脽 within a predetermined set in order to generate the real control input to the plant. A tracking performance index evaluates the tracking error and the scheme chooses the one with the smallest value has at each multiple of the residence time.
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