Generating invariants of hybrid systems via sums-of-squares of polynomials with rational coefficients

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Abstract

In this paper we discuss how to generate inequality invariants for continuous dynamical systems involved in hybrid systems. A hybrid symbolic-numeric algorithm is presented to compute inequality invariants of the given systems, by transforming this problem into a parameterized polynomial optimization problem. A numerical inequality invariant of the given system can be obtained by applying polynomial Sum-of-Squares (SOS) relaxation via Semidefinite Programming (SDP). And a method based on Gauss-Newton refinement is deployed to obtain candidates of polynomials with rational coefficients, and finally we certify that this polynomial exactly satisfies the conditions of invariants, by use of SOS representation of polynomials with rational coefficients. Several examples are given to show that our algorithm can successfully yield inequality invariants with rational coefficients.

Original languageEnglish
Title of host publicationSNC'11 - Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation
Pages104-111
Number of pages8
DOIs
StatePublished - 2011
EventSNC'11 - Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation - San Jose, CA, United States
Duration: 7 Jun 20119 Jun 2011

Publication series

NameSNC'11 - Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation

Conference

ConferenceSNC'11 - Proceedings of the 2011 International Workshop on Symbolic-Numeric Computation
Country/TerritoryUnited States
CitySan Jose, CA
Period7/06/119/06/11

Keywords

  • Differential invariant
  • Program verification
  • Semidefinite programming
  • Sum-of-squares relaxation

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