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001 sulb-eb0024386
003 BD-SySUS
005 20160413122437.0
007 cr nn 008mamaa
008 130107s2013 gw | s |||| 0|eng d
020 _a9783642345784
_9978-3-642-34578-4
024 7 _a10.1007/978-3-642-34578-4
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aSu, Housheng.
_eauthor.
245 1 0 _aPinning Control of Complex Networked Systems
_h[electronic resource] :
_bSynchronization, Consensus and Flocking of Networked Systems via Pinning /
_cby Housheng Su, Xiaofan Wang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXI, 163 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aSystem theory.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aAutomation.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aSystems Theory, Control.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aRobotics and Automation.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aWang, Xiaofan.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642345777
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-34578-4
912 _aZDB-2-ENG
942 _2Dewey Decimal Classification
_ceBooks
999 _c46478
_d46478