18 research outputs found

    Classical and strong convexity of sublevel sets and application to attainable sets of nonlinear systems

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    Necessary and sufficient conditions for convexity and strong convexity, respectively, of sublevel sets that are defined by finitely many real-valued C1,1C^{1,1}-maps are presented. A novel characterization of strongly convex sets in terms of the so-called local quadratic support is proved. The results concerning strong convexity are used to derive sufficient conditions for attainable sets of continuous-time nonlinear systems to be strongly convex. An application of these conditions is a novel method to over-approximate attainable sets when strong convexity is present.Comment: 20 pages, 3 figure
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