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Invariants for continuous linear dynamical systems

Abstract:
Continuous linear dynamical systems are used extensively in mathematics, computer science, physics, and engineering to model the evolution of a system over time. A central technique for certifying safety properties of such systems is by synthesising inductive invariants. This is the task of finding a set of states that is closed under the dynamics of the system and is disjoint from a given set of error states. In this paper we study the problem of synthesising inductive invariants that are definable in o-minimal expansions of the ordered field of real numbers. In particular, assuming Schanuel’s conjecture in transcendental number theory, we establish effective synthesis of o-minimal invariants in the case of semi-algebraic error sets. Without using Schanuel’s conjecture, we give a procedure for synthesizing o-minimal invariants that contain all but a bounded initial segment of the orbit and are disjoint from a given semi-algebraic error set. We further prove that effective synthesis of semi-algebraic invariants that contain the whole orbit, is at least as hard as a certain open problem in transcendental number theory.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4230/LIPIcs.ICALP.2020.107

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
St John's College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


Publisher:
Schloss Dagstuhl
Volume:
168
Article number:
107
Series:
Leibniz International Proceedings in Informatics
Publication date:
2020-06-29
Acceptance date:
2020-04-15
Event title:
47th International Colloquium on Automata Languages and Programming (ICALP 2020)
Event start date:
2020-07-08
Event end date:
2020-07-11
DOI:
ISSN:
1868-8969
ISBN:
9783959771382


Language:
English
Keywords:
Pubs id:
1115290
Local pid:
pubs:1115290
Deposit date:
2020-07-01

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