International Conference on Verification, Model Checking, and Abstract Interpretation

Verification, Model Checking, and Abstract Interpretation pp 268-288 | Cite as

A Method for Invariant Generation for Polynomial Continuous Systems

  • Andrew Sogokon
  • Khalil Ghorbal
  • Paul B. Jackson
  • André Platzer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9583)

Abstract

This paper presents a method for generating semi-algebraic invariants for systems governed by non-linear polynomial ordinary differential equations under semi-algebraic evolution constraints. Based on the notion of discrete abstraction, our method eliminates unsoundness and unnecessary coarseness found in existing approaches for computing abstractions for non-linear continuous systems and is able to construct invariants with intricate boolean structure, in contrast to invariants typically generated using template-based methods. In order to tackle the state explosion problem associated with discrete abstraction, we present invariant generation algorithms that exploit sound proof rules for safety verification, such as differential cut (\({\text {DC}}\)), and a new proof rule that we call differential divide-and-conquer (\({\text {DDC}}\)), which splits the verification problem into smaller sub-problems. The resulting invariant generation method is observed to be much more scalable and efficient than the naïve approach, exhibiting orders of magnitude performance improvement on many of the problems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Andrew Sogokon
    • 1
  • Khalil Ghorbal
    • 2
  • Paul B. Jackson
    • 1
  • André Platzer
    • 2
  1. 1.LFCS, School of InformaticsUniversity of EdinburghEdinburghScotland, UK
  2. 2.Computer Science DepartmentCarnegie Mellon UniversityPittsburghUSA

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