Probabilistic Safety Certificate for Multi-agent Systems.

CDC(2022)

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摘要
This paper focuses on the multi-agent safe control problem for stochastic systems. We propose a probabilistic certificate for safety and performance specifications and use it to construct a distributed algorithm. The certificate integrates the reachability- and invariance-based (barrier-function-based) approaches via a new notion of forward invariance defined on the long-term probability. The proposed method has two features. First, it can guarantee a long-term probability of safety and performance satisfaction using myopic evaluation. Second, each agent can collaboratively ensure system-wide specifications even if each does not have sufficient information to evaluate the specifications. The effectiveness of the proposed method is tested using numerical experiments.
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关键词
barrier-function-based approach,distributed algorithm,forward invariance,invariance-based approach,long-term probability,multiagent safe control problem,multiagent systems,myopic evaluation,performance satisfaction,performance specifications,probabilistic safety certificate,rechability,stochastic systems,system-wide specifications
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