Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis
Niklas Kochdumper, Matthias Althoff
Abstract
We introduce sparse polynomial zonotopes, a new set representation for formal verification of hybrid systems. Sparse polynomial zonotopes can represent nonconvex 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.
Topics & Concepts
Minkowski additionReachabilityPolynomialMathematicsRepresentation (politics)Sparse approximationDimension (graph theory)ComputationReduction (mathematics)AlgorithmNonlinear systemMinkowski spaceSet (abstract data type)Quadratic equationTime complexitySet operationsComputational complexity theoryComputer scienceReachability problemSubspace topologyMatrix polynomialLevel set (data structures)Discrete mathematicsStable polynomialGröbner basisDimensionality reductionApproximation algorithmFormal Methods in VerificationPolynomial and algebraic computationNumerical Methods and Algorithms