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pro vyhledávání: '"Shawon Dey"'
Autor:
Shawon Dey, Hao Xu
Publikováno v:
IET Control Theory & Applications, Vol 17, Iss 17, Pp 2332-2352 (2023)
Abstract This paper introduces a distributed adaptive formation control for large‐scale multi‐agent systems (LS‐MAS) that addresses the heavy computational complexity and communication traffic challenges while directly extending conventional di
Externí odkaz:
https://doaj.org/article/ca2d01acb00748cf8aac5d8ce9921c52
Autor:
Shawon Dey, Hao Xu
Publikováno v:
Proceedings of Cyber-Physical Systems and Internet of Things Week 2023.
Autor:
Shawon Dey, Hao Xu
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 89
In this paper, a distributed swarm control problem is studied for large-scale multi-agent systems (LS-MASs). Different than classical multi-agent systems, an LS-MAS brings new challenges to control design due to its large number of agents. It might b
Autor:
Shawon Dey, Hao Xu
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
2021 IEEE World AI IoT Congress (AIIoT).
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 trackin
Publikováno v:
CCWC
Decentralized and distributed autonomous sensing over networked sensor systems has many applications in surveillance, Internet of Things (IoT), autonomous cars, and UAV swarms tactics. In this study, we develop an average consensus-based decentralize
Publikováno v:
2019 IEEE National Aerospace and Electronics Conference (NAECON).
In this paper, we develop a decentralized collaborative sensing algorithm where the sensors are located on-board autonomous unmanned aerial vehicles. We develop this algorithm in the context of a target tracking application, where the objective is to