LEADER 04206nam 22007335 450 001 9910512164303321 005 20251113185939.0 010 $a981-16-7625-9 024 7 $a10.1007/978-981-16-7625-3 035 $a(MiAaPQ)EBC6823517 035 $a(Au-PeEL)EBL6823517 035 $a(OCoLC)1288212202 035 $a(CKB)20094141800041 035 $a(PPN)259387525 035 $a(DE-He213)978-981-16-7625-3 035 $a(EXLCZ)9920094141800041 100 $a20211207d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCooperative Coverage Control of Multi-Agent Systems and its Applications /$fby Chao Zhai, Hai-Tao Zhang, Gaoxi Xiao 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (151 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v408 311 08$aPrint version: Zhai, Chao Cooperative Coverage Control of Multi-Agent Systems and Its Applications Singapore : Springer Singapore Pte. Limited,c2022 9789811676246 327 $aIntroduction 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. 330 $aThis book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme. By taking workload partition and sweeping operations simultaneously, a distributed sweep coverage algorithm of multi-agent systems is developed to cooperatively complete the workload on the given region, and its input-to-state stability is guaranteed in theory. Moreover, the coverage performance is evaluated by estimating the error between the actual coverage time and the optimal time. Three application scenarios are presented to demonstrate the advantages of cooperative coverage control approaches in missile interception, intelligent transportation systems and environment monitoring, respectively. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v408 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aTelecommunication 606 $aCooperating objects (Computer systems) 606 $aUser interfaces (Computer systems) 606 $aHuman-computer interaction 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aCommunications Engineering, Networks 606 $aCyber-Physical Systems 606 $aUser Interfaces and Human Computer Interaction 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aTelecommunication. 615 0$aCooperating objects (Computer systems) 615 0$aUser interfaces (Computer systems) 615 0$aHuman-computer interaction. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aCommunications Engineering, Networks. 615 24$aCyber-Physical Systems. 615 24$aUser Interfaces and Human Computer Interaction. 676 $a621.811 700 $aZhai$b Chao$01069409 702 $aZhang$b Hai-Tao 702 $aXiao$b Gaoxi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910512164303321 996 $aCooperative coverage control of multi-agent systems and its applications$92906735 997 $aUNINA