000 03333nam a22005895i 4500
001 978-3-662-47484-6
003 DE-He213
005 20200421111655.0
007 cr nn 008mamaa
008 150718s2016 gw | s |||| 0|eng d
020 _a9783662474846
_9978-3-662-47484-6
024 7 _a10.1007/978-3-662-47484-6
_2doi
050 4 _aTA355
050 4 _aTA352-356
072 7 _aTGMD4
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aSCI018000
_2bisacsh
082 0 4 _a620
_223
100 1 _aWang, Zhanshan.
_eauthor.
245 1 0 _aQualitative Analysis and Control of Complex Neural Networks with Delays
_h[electronic resource] /
_cby Zhanshan Wang, Zhenwei Liu, Chengde Zheng.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aXIV, 388 p. 32 illus., 7 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v34
505 0 _a Introduction to Neural Networks.- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning.- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.
520 _aThis book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
650 0 _aEngineering.
650 0 _aComplexity, Computational.
650 0 _aVibration.
650 0 _aDynamical systems.
650 0 _aDynamics.
650 0 _aControl engineering.
650 0 _aPower electronics.
650 1 4 _aEngineering.
650 2 4 _aVibration, Dynamical Systems, Control.
650 2 4 _aComplexity.
650 2 4 _aControl.
650 2 4 _aPower Electronics, Electrical Machines and Networks.
700 1 _aLiu, Zhenwei.
_eauthor.
700 1 _aZheng, Chengde.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662474839
830 0 _aStudies in Systems, Decision and Control,
_x2198-4182 ;
_v34
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-47484-6
912 _aZDB-2-ENG
942 _cEBK
999 _c54664
_d54664