Representing hybrid automata by action language modulo theories

Joohyung Lee, Nikhil Loney, Yunsong Meng

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Both hybrid automata and action languages are formalisms for describing the evolution of dynamic systems. This paper establishes a formal relationship between them. We show how to succinctly represent hybrid automata in an action language which in turn is defined as a high-level notation for answer set programming modulo theories - an extension of answer set programs to the first-order level similar to the way satisfiability modulo theories (SMT) extends propositional satisfiability (SAT). We first show how to represent linear hybrid automata with convex invariants by an action language modulo theories. A further translation into SMT allows for computing them using SMT solvers that support arithmetic over reals. Next, we extend the representation to the general class of non-linear hybrid automata allowing even non-convex invariants. We represent them by an action language modulo ordinary differential equations, which can be compiled into satisfiability modulo ordinary differential equations. We present a prototype system cplus2aspmt based on these translations, which allows for a succinct representation of hybrid transition systems that can be computed effectively by the state-of-the-art SMT solver dReal.

Original languageEnglish (US)
Pages (from-to)924-941
Number of pages18
JournalTheory and Practice of Logic Programming
Volume17
Issue number5-6
DOIs
StatePublished - Sep 1 2017

Keywords

  • Action languages
  • Answer set programming
  • Hybrid automata

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics
  • Artificial Intelligence

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