LEADER 03650nam 22005775 450 001 9911113271703321 005 20260102122744.0 010 $a981-9529-64-6 010 $a9789819529643 024 7 $a10.1007/978-981-95-2964-3 035 $a(CKB)44769989500041 035 $a(MiAaPQ)EBC32470038 035 $a(Au-PeEL)EBL32470038 035 $a(DE-He213)978-981-95-2964-3 035 $a(OCoLC)1565349829 035 $a(EXLCZ)9944769989500041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimal Adaptive Cooperative Control for Nonlinear Multiagent Systems /$fby Xin Wang, Huaqing Li, Tingwen Huang 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (309 pages) 225 0 $aIntelligent Technologies and Robotics Series 311 08$a981-9529-63-8 327 $aIntroduction -- Neural Network-based Adaptive Tracking Control for Nonlinear Multiagent Systems: The Observer Case -- Event-Triggered Cooperative Adaptive Neural Control for Cyberphysical Systems with Unknown State -- Event-triggered Adaptive Fault-tolerant Control for Nonlinear Multiagent Systems with Sensor and Actuator Faults -- Event-triggered Adaptive Finite-time Control for Switched Cyberphysical Systems with Uncertain Deception Attacks -- Adaptive Control for Uncertain Nonlinear Systems With Dynamic Full State Constraints: The SMDO Approach -- Observer-Based Event-Triggered Adaptive Control for Nonlinear Multiagent Systems with Unknown States and Disturbances -- Optimized Adaptive Finite-Time Consensus Control for Stochastic Nonlinear Multiagent Systems with Non-af?ne Nonlinear Faults -- Data-Driven Fault-Tolerant Reinforcement Learning Containment Control for Nonlinear Multiagent Systems. 330 $aThis book provides a systematic and in-depth introduction to distributed optimal adaptive cooperative control for multiagent systems from a theoretical perspective. The major research topics include: adaptive neural networks-based control schemes under multiconstraints, adaptive optimal control, event-triggered adaptive optimal control and data-based reinforcement learning control. The comprehensive and systematic treatment of adaptive optimal control in multiagent systems is one of the major features of the book, which is particularly suitable for readers who are interested in learning principles and methods for dealing with control resource constraints in multiagent systems and designing energy-saving control protocols. The book can benefit researchers, engineers, and graduate students in the fields of complex networks, smart grids, applied mathematics, electrical and electronic engineering, computer engineering, etc. 410 0$aIntelligent Technologies and Robotics Series 606 $aAutomatic control 606 $aComputational intelligence 606 $aControl and Systems Theory 606 $aComputational Intelligence 615 0$aAutomatic control. 615 0$aComputational intelligence. 615 14$aControl and Systems Theory. 615 24$aComputational Intelligence. 676 $a629.8312 676 $a003 700 $aWang$b Xin$0847441 701 $aLi$b Huaqing$01015111 701 $aHuang$b Tingwen$01439128 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911113271703321 996 $aOptimal Adaptive Cooperative Control for Nonlinear Multiagent Systems$94755175 997 $aUNINA