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Reliable Multi-Agent Control in Failure-Prone Environments via Inhomogeneous Markov Chains.
| 题名： | Reliable Multi-Agent Control in Failure-Prone Environments via Inhomogeneous Markov Chains. |
| 作者： | Olshevsky, A. |
| 关键词： | Markov chains, Autonomous systems, Optimization, Reliable multi-agent control, Failure-prone environments, Inhomogeneous markov chains, Noise resilience, Distributed optimization |
| 摘要： | This project developed protocols for the coordination of autonomous nodes (such as UAVs, ROVs, and other robotic platforms) operating in fault-prone environments characterized by noisy and time-varying communication, message losses, and persistent and unpredictable node failures. For problems of formation control, leader-following, cooperative estimation and learning, resource allocation, and others tasks fitting within a separable optimization framework, control strategies were developed with fast and reliable performance, even in simulated networks of thousands of nodes. |
| 报告类型： | 科技报告 |
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