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Invariants for Continuous Linear Dynamical Systems

Authors: Almagor, Shaull; Kelmendi, Edon; Ouaknine, Joël; Worrell, James;

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.

Full version of a ICALP 2020 paper

Keywords

safety, FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Invariants, o-minimality, Mathematics of computing → Continuous mathematics, Dynamical Systems (math.DS), Theory of computation → Finite Model Theory, Theory of computation → Logic and verification, 510, 004, Logic in Computer Science (cs.LO), Software and its engineering → Formal software verification, FOS: Mathematics, Computing methodologies → Algebraic algorithms, continuous Skolem problem, Mathematics - Dynamical Systems, Mathematics of computing → Continuous functions, continuous linear dynamical systems, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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