Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis

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Hauptverfasser: Kochdumper, Niklas, Althoff, Matthias
Format: Preprint
Veröffentlicht: 2019
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author Kochdumper, Niklas
Althoff, Matthias
author_facet Kochdumper, Niklas
Althoff, Matthias
contents We introduce sparse polynomial zonotopes, a new set representation for formal verification of hybrid systems. Sparse polynomial zonotopes can represent non-convex sets and are generalizations of zonotopes, polytopes, and Taylor models. Operations like Minkowski sum, quadratic mapping, and reduction of the representation size can be computed with polynomial complexity w.r.t. the dimension of the system. In particular, for reachability analysis of nonlinear systems, the wrapping effect is substantially reduced using sparse polynomial zonotopes, as demonstrated by numerical examples. In addition, we can significantly reduce the computation time compared to zonotopes when dealing with nonlinear dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_1901_01780
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis
Kochdumper, Niklas
Althoff, Matthias
Systems and Control
We introduce sparse polynomial zonotopes, a new set representation for formal verification of hybrid systems. Sparse polynomial zonotopes can represent non-convex sets and are generalizations of zonotopes, polytopes, and Taylor models. Operations like Minkowski sum, quadratic mapping, and reduction of the representation size can be computed with polynomial complexity w.r.t. the dimension of the system. In particular, for reachability analysis of nonlinear systems, the wrapping effect is substantially reduced using sparse polynomial zonotopes, as demonstrated by numerical examples. In addition, we can significantly reduce the computation time compared to zonotopes when dealing with nonlinear dynamics.
title Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis
topic Systems and Control
url https://arxiv.org/abs/1901.01780