Min-max control
Min-max control a class of control algorithms based on worst-case design methodology in which control law is chosen in such a way that it optimizes the performance under the most unfavorable possible effect of parameter variations and/or disturbances. The design procedure can be viewed as a zerosum game with control action and uncertainty as the antagonistic players. In the case of linear models and quadratic indices, the minmax control could be found by solving zerosum linear-quadratic games. Minimax operations may be performed on cost functionals, sensitivity functions, reachability sets, stability regions or chosen norms of model variables.
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Author of the text: Ed. P.A. Laplante Boca Raton: CRC Press LLC, 2000
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