From Dissipativity Theory to Compositional Construction of Control Barrier Certificates

This paper proposes a compositional framework based on dissipativity approaches to construct control barrier certificates for networks of continuous-time stochastic hybrid systems. The proposed scheme leverages the structure of the interconnection topology and a notion of so-called control storage c...

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Bibliographic Details
Main Authors: Nejati, Ameneh, Zamani, Majid
Format: Article
Language:English
Published: Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik 2022-12-01
Series:Leibniz Transactions on Embedded Systems
Subjects:
Online Access:https://drops.dagstuhl.de/storage/07lites/lites_vol008/lites_vol008_issue002/LITES.8.2.6/LITES.8.2.6.pdf
Description
Summary:This paper proposes a compositional framework based on dissipativity approaches to construct control barrier certificates for networks of continuous-time stochastic hybrid systems. The proposed scheme leverages the structure of the interconnection topology and a notion of so-called control storage certificates to construct control barrier certificates compositionally. By utilizing those certificates, one can compositionally synthesize state-feedback controllers for interconnected systems enforcing safety specifications over a finite-time horizon. In particular, we leverage dissipativity-type compositionality conditions to construct control barrier certificates for interconnected systems based on corresponding control storage certificates computed for subsystems. Using those constructed control barrier certificates, one can quantify upper bounds on probabilities that interconnected systems reach certain unsafe regions in finite-time horizons. We employ a systematic technique based on the sum-of-squares optimization program to search for storage certificates of subsystems together with their corresponding safety controllers. We demonstrate our proposed results by applying them to a temperature regulation in a circular building containing 1000 rooms. To show the applicability of our approaches to dense networks, we also apply our proposed techniques to a fully-interconnected network.
ISSN:2199-2002