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Peak Estimation of Hybrid Systems with Convex Optimization - MaRDI portal

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Peak Estimation of Hybrid Systems with Convex Optimization

From MaRDI portal
Publication:6430266

arXiv2303.11490MaRDI QIDQ6430266

Author name not available (Why is that?)

Publication date: 20 March 2023

Abstract: Peak estimation of hybrid systems aims to upper bound extreme values of a state function along trajectories, where this state function could be different in each subsystem. This finite-dimensional but nonconvex problem may be lifted into an infinite-dimensional linear program (LP) in occupation measures with an equal objective under mild finiteness/compactness and smoothness assumptions. This LP may in turn be approximated by a convergent sequence of upper bounds attained from solutions of Linear Matrix Inequalities (LMIs) using the Moment-Sum-of-Squares hierarchy. The peak estimation problem is extended to problems with uncertainty and safety settings, such as measuring the distance of closest approach between points along hybrid system trajectories and unsafe sets.












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