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Cooperative coverage control of multi-agent systems and its applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cooperative coverage control of multi-agent systems and its applicationsby Chao Zhai, Hai-Tao Zhang, Gaoxi Xiao.
Author:	Zhai, Chao.
other author:	Zhang, Haitao.
Published:	Singapore :Springer Singapore :2021.
Description:	xvi, 139 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Multiagent systems.
Online resource:	https://doi.org/10.1007/978-981-16-7625-3
ISBN:	9789811676253$q(electronic bk.)

Cooperative coverage control of multi-agent systems and its applications
Zhai, Chao.

Cooperative coverage control of multi-agent systems and its applications[electronic resource] /by Chao Zhai, Hai-Tao Zhang, Gaoxi Xiao. - Singapore :Springer Singapore :2021. - xvi, 139 p. :ill. (chiefly col.), digital ;24 cm. - Studies in systems, decision and control,v. 4082198-4190 ;. - Studies in systems, decision and control ;v.3..

Introduction to Multi-Agent Cooperative Coverage Control -- Distributed Control Scheme for Online Workload Partition -- Decentralized Cooperative Sweep Coverage Algorithm in Uncertain Environments -- Adaptive Cooperative Coverage Algorithm with Online Learning Strategies -- Distributed Sweep Coverage Algorithm using Workload Memory -- Cooperative Sweep Coverage Algorithm of Discrete Time Multi-Agent Systems -- Coverage-Based Cooperative Interception against Supersonic Flight Vehicles -- Coverage-Based Cooperative Routing Algorithm for Unmanned Ground Vehicles -- Cooperative Coverage Control of Wireless Sensor Networks for Environment Monitoring -- Summary and Future Work.

This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.

ISBN: 9789811676253$q(electronic bk.)

Standard No.: 10.1007/978-981-16-7625-3doiSubjects--Topical Terms:

484868
Multiagent systems.

LC Class. No.: TJ215.5 / .Z53 2021

Dewey Class. No.: 006.30285436

Cooperative coverage control of multi-agent systems and its applications
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300 $a xvi, 139 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
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505 0 $a Introduction to Multi-Agent Cooperative Coverage Control -- Distributed Control Scheme for Online Workload Partition -- Decentralized Cooperative Sweep Coverage Algorithm in Uncertain Environments -- Adaptive Cooperative Coverage Algorithm with Online Learning Strategies -- Distributed Sweep Coverage Algorithm using Workload Memory -- Cooperative Sweep Coverage Algorithm of Discrete Time Multi-Agent Systems -- Coverage-Based Cooperative Interception against Supersonic Flight Vehicles -- Coverage-Based Cooperative Routing Algorithm for Unmanned Ground Vehicles -- Cooperative Coverage Control of Wireless Sensor Networks for Environment Monitoring -- Summary and Future Work.
520 $a This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively.
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