Encoding inductive invariants as barrier certificates: Synthesis via difference-of-convex programming

We present the invariant barrier-certificate condition that witnesses unbounded-time safety of differential dynamical systems. The proposed condition is the weakest possible one to attain inductive invariance. We show that discharging the invariant barrier-certificate condition —thereby synthesizing...

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Veröffentlicht in:Information and computation Jg. 289; S. 104965
Hauptverfasser: Wang, Qiuye, Chen, Mingshuai, Xue, Bai, Zhan, Naijun, Katoen, Joost-Pieter
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Inc 01.11.2022
Schlagworte:
Barrier certificates
Bilinear matrix inequalities
Difference-of-convex programming
Inductive invariants
Semidefinite programming
Bilinear matrix inequalities
Semidefinite programming
Barrier certificates
Difference-of-convex programming
Inductive invariants
ISSN:0890-5401, 1090-2651
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Zusammenfassung:We present the invariant barrier-certificate condition that witnesses unbounded-time safety of differential dynamical systems. The proposed condition is the weakest possible one to attain inductive invariance. We show that discharging the invariant barrier-certificate condition —thereby synthesizing invariant barrier certificates— can be encoded as solving an optimization problem subject to bilinear matrix inequalities (BMIs). We further propose a synthesis algorithm based on difference-of-convex programming, which approaches a local optimum of the BMI problem via solving a series of convex optimization problems. This algorithm is incorporated in a branch-and-bound framework that searches for the global optimum in a divide-and-conquer fashion. We present a weak completeness result of our method, namely, a barrier certificate is guaranteed to be found (under some mild assumptions) whenever there exists an inductive invariant (in the form of a given template) that suffices to certify safety. Experimental results on benchmarks demonstrate the effectiveness and efficiency of our approach.
ISSN:0890-5401
1090-2651
DOI:10.1016/j.ic.2022.104965