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À propos de : Objective function design for robust optimality of linear control under state-constraints and uncertainty        

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  • Objective function design for robust optimality of linear control under state-constraints and uncertainty
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  • We consider a model for the control of a linear network flow system with unknown but bounded demand and polytopic bounds on controlled flows. We are interested in the problem of finding a suitable objective function that makes robust optimal the policy represented by the so-called linear saturated feedback control. We regard the problem as a suitable differential game with switching cost and study it in the framework of the viscosity solutions theory for Bellman and Isaacs equations.
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  • cocv0927
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  • © EDP Sciences, SMAI, 2009
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  • EDP Sciences, SMAI
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