Evaluation of closed-loop performance of an estimation strategy for decentralized safety controller under communication delay and measurement uncertainty
Résumé
We present here the details of the evaluation performance of an estimation strategy for a decentralized safety controller for two agents, subject to communication delay and imperfect measurements. The control objective is to ensure safety, meaning that the state of the two-agent system does not enter an undesired set in the state space. Assuming that we know a feedback map designed for the delay-free case, we propose a state estimation strategy which guarantees control agreement between the two agents in the case of bounded communication delay. We extend it to the case of infinitely-distributed communication delays by determining a lower bound for the probability of safety. In the present note, we discuss the performance of the resulting controller.
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