LEADER 02417oam 2200505 450 001 9910483903103321 005 20210416175151.0 010 $a981-15-9392-2 024 7 $a10.1007/978-981-15-9392-5 035 $a(CKB)4100000011528429 035 $a(MiAaPQ)EBC6382020 035 $a(DE-He213)978-981-15-9392-5 035 $a(PPN)258088834 035 $a(EXLCZ)994100000011528429 100 $a20210416d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aManagement and intelligent decision-making in complex systems $ean optimization-driven approach /$fAmeer Hamza Khan, Xinwei Cao, Shuai Li 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XI, 83 p. 39 illus., 35 illus. in color.) 311 $a981-15-9391-4 327 $aObstacle Avoidance Based Decision Making and Management of Articulated Agents -- Management of Soft Agents with Structural Uncertainty -- A Novel Damping Mechanism for Soft Agents with Structural Uncertainty -- Management of Electrical Machine Using Torque Control Strategy. 330 $aIn this book, the authors focus on three aspects related to the development of articulated agents: presenting an overview of high-level control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector of articulated agents, and accurate management of low-level torque-control loop to accurately control the articulated agents. This book summarizes recent advances related to articulated agents. The motive behind the book is to trigger theoretical and practical research studies related to articulated agents. 606 $aDecision making$xMathematical models 606 $aSystem analysis 606 $aMathematical optimization 615 0$aDecision making$xMathematical models. 615 0$aSystem analysis. 615 0$aMathematical optimization. 676 $a658.4033 700 $aKhan$b Ameer Hamza$01228712 702 $aLi$b Shuai 702 $aCao$b Xinwei 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910483903103321 996 $aManagement and intelligent decision-making in complex systems$92852583 997 $aUNINA