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(DLC) 95660529 (OCoLC)30717109 1077-1816 517 1 $aPlansponsor 531 0 $aPlan spons. 606 $aPension trusts$xInvestments$zUnited States$vPeriodicals 606 $aEmployee fringe benefits$zUnited States$vPeriodicals 606 $a401(k) plans$vPeriodicals 606 $a401(k) plans$2fast$3(OCoLC)fst00793729 606 $aEmployee fringe benefits$2fast$3(OCoLC)fst00908971 606 $aPension trusts$xInvestments$2fast$3(OCoLC)fst01057060 607 $aUnited States$2fast 608 $aPeriodicals.$2fast 615 0$aPension trusts$xInvestments 615 0$aEmployee fringe benefits 615 0$a401(k) plans 615 7$a401(k) plans. 615 7$aEmployee fringe benefits. 615 7$aPension trusts$xInvestments. 676 $a332.6/7254 906 $aJOURNAL 912 $a996208127803316 920 $aexl_impl conversion 996 $aPlan sponsor$92323103 997 $aUNISA LEADER 03024nam 22005655 450 001 9910983339503321 005 20250221115251.0 010 $a9789819778669 010 $a9819778662 024 7 $a10.1007/978-981-97-7866-9 035 $a(MiAaPQ)EBC31915094 035 $a(Au-PeEL)EBL31915094 035 $a(CKB)37663509900041 035 $a(DE-He213)978-981-97-7866-9 035 $a(OCoLC)1503843108 035 $a(EXLCZ)9937663509900041 100 $a20250221d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdaptive Collaborative Control of Multiagent Systems by Event-Triggered Mechanisms /$fby Juan Zhang, Huaguang Zhang, Dongsheng Yang, Yanhong Luo, Bowen Zhou 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (288 pages) 225 1 $aIntelligent Control and Learning Systems,$x2662-5466 ;$v14 311 08$a9789819778652 311 08$a9819778654 327 $a1. Overview of multi-agent systems -- 2. Consensus Control of Linear Multiagent Systems under Switching Networks -- 3: Consensus Control of Linear Multigent Systems under Communication Link Faults -- 4. Consensus Control of Nonlinear Multiagent Systems under Asynchronous Communication -- 5: Output Regulation of Multiagent Systems under Non-ideal environments. 330 $aThis book provides a detailed study of several types of control problems in multi-agent systems, including consensus, output regulation, containment, and formation problems. The research on collaborative control of multi-agent systems has attracted engineers and scientists from various disciplines such as control, mathematics, artificial intelligence, and computer engineering. This book proposes a control strategy based on adaptive triggering mechanism and establishes a basic energy-saving framework; it also proposes an adaptive learning rate to replace fixed weights, ensuring that the proposed strategy does not rely on any global information of the communication topology and has scalability. This book is ideal for students, researchers, and engineers in collaborative control, wireless networks, power grids, UAVs, and more. 410 0$aIntelligent Control and Learning Systems,$x2662-5466 ;$v14 606 $aAutomatic control 606 $aControl and Systems Theory 615 0$aAutomatic control. 615 14$aControl and Systems Theory. 676 $a629.8312 676 $a003 700 $aZhang$b Juan$01354825 701 $aZhang$b Huaguang$01064375 701 $aYang$b Dongsheng$01785156 701 $aLuo$b Yanhong$01785157 701 $aZhou$b Bowen$01785158 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983339503321 996 $aAdaptive Collaborative Control of Multiagent Systems by Event-Triggered Mechanisms$94316774 997 $aUNINA