Classical and strong convexity of sublevel sets and application to attainable sets of nonlinear systems
classification
🧮 math.OC
keywords
setsconvexitystrongattainableconditionsapplicationconvexnonlinear
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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 $C^{1,1}$-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.
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