Decentralized UAV Swarm Control for Multitarget Tracking using Approximate Dynamic Programming

2021 IEEE World AI IoT Congress (AIIoT)(2021)

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摘要
We develop a decentralized control method for a UAV swarm for a multitarget tracking application using the theory of decentralized Markov decision processes (Dec-MDPs). This study develops a UAV control strategy to maximize the overall target tracking performance in a decentralized setting. Motivation for this case study comes from the surveillance applications using UAV swarms. Decision-theoretic...
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关键词
Target tracking,Surveillance,Decentralized control,Process control,Markov processes,Benchmark testing,Cost function
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