04206nam 22007335 450 991051216430332120251113185939.0981-16-7625-910.1007/978-981-16-7625-3(MiAaPQ)EBC6823517(Au-PeEL)EBL6823517(OCoLC)1288212202(CKB)20094141800041(PPN)259387525(DE-He213)978-981-16-7625-3(EXLCZ)992009414180004120211207d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCooperative Coverage Control of Multi-Agent Systems and its Applications /by Chao Zhai, Hai-Tao Zhang, Gaoxi Xiao1st ed. 2021.Singapore :Springer Nature Singapore :Imprint: Springer,2021.1 online resource (151 pages)Studies in Systems, Decision and Control,2198-4190 ;408Print version: Zhai, Chao Cooperative Coverage Control of Multi-Agent Systems and Its Applications Singapore : Springer Singapore Pte. Limited,c2022 9789811676246 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.Studies in Systems, Decision and Control,2198-4190 ;408Computational intelligenceArtificial intelligenceTelecommunicationCooperating objects (Computer systems)User interfaces (Computer systems)Human-computer interactionComputational IntelligenceArtificial IntelligenceCommunications Engineering, NetworksCyber-Physical SystemsUser Interfaces and Human Computer InteractionComputational intelligence.Artificial intelligence.Telecommunication.Cooperating objects (Computer systems)User interfaces (Computer systems)Human-computer interaction.Computational Intelligence.Artificial Intelligence.Communications Engineering, Networks.Cyber-Physical Systems.User Interfaces and Human Computer Interaction.621.811Zhai Chao1069409Zhang Hai-TaoXiao GaoxiMiAaPQMiAaPQMiAaPQBOOK9910512164303321Cooperative coverage control of multi-agent systems and its applications2906735UNINA