LEADER 03666nam 22006735 450 001 9910743683503321 005 20230811152033.0 010 $a981-19-6990-6 024 7 $a10.1007/978-981-19-6990-4 035 $a(MiAaPQ)EBC30727058 035 $a(Au-PeEL)EBL30727058 035 $a(DE-He213)978-981-19-6990-4 035 $a(PPN)272259314 035 $a(CKB)28141334300041 035 $a(EXLCZ)9928141334300041 100 $a20230811d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdmissible Consensus and Consensualization for Singular Multi-agent Systems /$fby Jianxiang Xi, Le Wang, Xiaogang Yang, Jiuan Gao, Ruitao Lu 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (285 pages) 225 1 $aEngineering Applications of Computational Methods,$x2662-3374 ;$v11 311 08$aPrint version: Xi, Jianxiang Admissible Consensus and Consensualization for Singular Multi-Agent Systems Singapore : Springer Singapore Pte. Limited,c2023 9789811969898 327 $aIntroduction -- Fundamental Theory -- Admissible Consensus and Consensualization on Interaction topology -- Admissible Consensus and Consensualization with Time Delays -- Admissible 2 L Consensus and Consensualization with External Disturbances -- Admissible Consensus and Consensualization with Protocol State Constraints -- Admissible Consensus and Consensualization with Energy constraints -- Admissible Formation Tracking with Energy constraints. 330 $aThis book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems. 410 0$aEngineering Applications of Computational Methods,$x2662-3374 ;$v11 606 $aControl engineering 606 $aSystem theory 606 $aControl theory 606 $aComputer science 606 $aControl and Systems Theory 606 $aSystems Theory, Control 606 $aComputer Science 606 $aComplex Systems 615 0$aControl engineering. 615 0$aSystem theory. 615 0$aControl theory. 615 0$aComputer science. 615 14$aControl and Systems Theory. 615 24$aSystems Theory, Control . 615 24$aComputer Science. 615 24$aComplex Systems. 676 $a006.30285436 700 $aXi$b Jianxiang$01427103 701 $aWang$b Le$01427104 701 $aYang$b Xiaogang$01427105 701 $aGao$b Jiuan$01427106 701 $aLu$b Ruitao$01427107 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743683503321 996 $aAdmissible Consensus and Consensualization for Singular Multi-Agent Systems$93559875 997 $aUNINA