LEADER 03208nam  2200529 a 450 
001 9910437892903321
005 20200520144314.0
010   $a1-283-94579-7
010   $a3-642-34578-6
024 7 $a10.1007/978-3-642-34578-4
035   $a(OCoLC)828734450
035   $a(MiFhGG)GVRL6VOG
035   $a(CKB)2670000000533363
035   $a(MiAaPQ)EBC1082823
035   $a(EXLCZ)992670000000533363
100   $a20121204d2013      uy         0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 10$aPinning control of complex networked systems $esynchronization, consensus and flocking of networked systems via pinning /$fHousheng Su, Xiaofan Wang
205   $a1st ed. 2013.
210   $aBerlin $cSpringer$d2013
215   $a1 online resource (xi, 163 pages) $cillustrations (some color)
225 0 $aGale eBooks
300   $aDescription based upon print version of record.
311   $a3-642-34577-8 
311   $a3-642-44584-5 
320   $aIncludes bibliographical references and index.
327   $aOverview -- Pinning control for complete synchronization of complex dynamical networks -- Pinning control for cluster synchronization of complex dynamical networks -- Distributed pinning-controlled second-order consensus of multi-agent systems -- Distributed pinning-controlled consensus in a heterogeneous influence network -- Distributed pinning-controlled flocking with a virtual leader -- Distributed pinning-controlled flocking with preserved network connectivity.
330   $aSynchronization, consensus and flocking are ubiquitous requirements in networked systems. Pinning Control of Complex Networked Systems investigates these requirements by using the pinning control strategy, which aims to control the whole dynamical network with huge numbers of nodes by imposing controllers for only a fraction of the nodes. As the direct control of every node in a dynamical network with huge numbers of nodes might be impossible or unnecessary, it?s then very important to use the pinning control strategy for the synchronization of complex dynamical networks. The research on pinning control strategy in consensus and flocking of multi-agent systems can not only help us to better understand the mechanisms of natural collective phenomena, but also benefit applications in mobile sensor/robot networks. This book offers a valuable resource for researchers and engineers working in the fields of control theory and control engineering.   Housheng Su is an Associate Professor at the Department of Control Science and Engineering, Huazhong University of Science and Technology, China; Xiaofan Wang is a Professor at the Department of Automation, Shanghai Jiao Tong University, China.
606   $aComputer networks
615  0$aComputer networks.
676   $a006.3
676   $a519
676   $a620
676   $a621.382
700   $aSu$b Housheng$01064240
701   $aWang$b Xiaofan$01763737
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437892903321
996   $aPinning control of complex networked systems$94204338
997   $aUNINA