A Reduction in Conservatism for Convex Linear-Quadratic Simultaneous Performance Design
نویسندگان
چکیده
In this paper a xed state feedback control law which minimizes upper bounds on linear-quadratic performance measures for m distinct plants is studied. Previous work 8] by the authors demonstrated a convex semideenite programming solution thereby guaranteeing global optimality. The present work extends that result by proposing an algorithm which reduces the conservatism of the minimum guaranteed-cost upper bounds for each of the m performance measures.
منابع مشابه
Linear - Quadratic Simultaneous Performance Design 1
In this paper the problem of designing a xed state feedback control law which minimizes an upper bound on linear-quadratic performance measures for m distinct plants is reduced to a convex programming problem.
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