Probabilistic Tube-based Control Synthesis of Stochastic Multi-Agent Systems under Signal Temporal Logic

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Hauptverfasser: Vlahakis, Eleftherios E., Lindemann, Lars, Sopasakis, Pantelis, Dimarogonas, Dimos V.
Format: Preprint
Veröffentlicht: 2024
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author Vlahakis, Eleftherios E.
Lindemann, Lars
Sopasakis, Pantelis
Dimarogonas, Dimos V.
author_facet Vlahakis, Eleftherios E.
Lindemann, Lars
Sopasakis, Pantelis
Dimarogonas, Dimos V.
contents We consider the control design of stochastic discrete-time linear multi-agent systems (MASs) under a global signal temporal logic (STL) specification to be satisfied at a predefined probability. By decomposing the dynamics into deterministic and error components, we construct a probabilistic reachable tube (PRT) as the Cartesian product of reachable sets of the individual error systems driven by disturbances lying in confidence regions (CRs) with a fixed probability. By bounding the PRT probability with the specification probability, we tighten all state constraints induced by the STL specification by solving tractable optimization problems over segments of the PRT, and relax the underlying stochastic problem with a deterministic one. This approach reduces conservatism compared to tightening guided by the STL structure. Additionally, we propose a recursively feasible algorithm to attack the resulting problem by decomposing it into agent-level subproblems, which are solved iteratively according to a scheduling policy. We demonstrate our method on a ten-agent system, where existing approaches are impractical.
format Preprint
id arxiv_https___arxiv_org_abs_2405_02827
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Probabilistic Tube-based Control Synthesis of Stochastic Multi-Agent Systems under Signal Temporal Logic
Vlahakis, Eleftherios E.
Lindemann, Lars
Sopasakis, Pantelis
Dimarogonas, Dimos V.
Systems and Control
We consider the control design of stochastic discrete-time linear multi-agent systems (MASs) under a global signal temporal logic (STL) specification to be satisfied at a predefined probability. By decomposing the dynamics into deterministic and error components, we construct a probabilistic reachable tube (PRT) as the Cartesian product of reachable sets of the individual error systems driven by disturbances lying in confidence regions (CRs) with a fixed probability. By bounding the PRT probability with the specification probability, we tighten all state constraints induced by the STL specification by solving tractable optimization problems over segments of the PRT, and relax the underlying stochastic problem with a deterministic one. This approach reduces conservatism compared to tightening guided by the STL structure. Additionally, we propose a recursively feasible algorithm to attack the resulting problem by decomposing it into agent-level subproblems, which are solved iteratively according to a scheduling policy. We demonstrate our method on a ten-agent system, where existing approaches are impractical.
title Probabilistic Tube-based Control Synthesis of Stochastic Multi-Agent Systems under Signal Temporal Logic
topic Systems and Control
url https://arxiv.org/abs/2405.02827