LEADER 03999nam  22007695  450 
001 9910254181603321
005 20251202151132.0
010   $a3-662-47484-0
024 7 $a10.1007/978-3-662-47484-6
035   $a(CKB)3710000000452061
035   $a(EBL)3567800
035   $a(SSID)ssj0001534828
035   $a(PQKBManifestationID)11819181
035   $a(PQKBTitleCode)TC0001534828
035   $a(PQKBWorkID)11498248
035   $a(PQKB)10644270
035   $a(DE-He213)978-3-662-47484-6
035   $a(MiAaPQ)EBC3567800
035   $a(PPN)187687889
035   $a(EXLCZ)993710000000452061
100   $a20150718d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aQualitative Analysis and Control of Complex Neural Networks with Delays /$fby Zhanshan Wang, Zhenwei Liu, Chengde Zheng
205   $a1st ed. 2016.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2016.
215   $a1 online resource (398 p.)
225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v34
300   $aDescription based upon print version of record.
311 08$a3-662-47483-2 
320   $aIncludes bibliographical references and index.
327   $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.
330   $aThis book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
410  0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v34
606   $aMultibody systems
606   $aVibration
606   $aMechanics, Applied
606   $aDynamics
606   $aNonlinear theories
606   $aAutomatic control
606   $aElectric power production
606   $aMultibody Systems and Mechanical Vibrations
606   $aApplied Dynamical Systems
606   $aControl and Systems Theory
606   $aElectrical Power Engineering
615  0$aMultibody systems.
615  0$aVibration.
615  0$aMechanics, Applied.
615  0$aDynamics.
615  0$aNonlinear theories.
615  0$aAutomatic control.
615  0$aElectric power production.
615 14$aMultibody Systems and Mechanical Vibrations.
615 24$aApplied Dynamical Systems.
615 24$aControl and Systems Theory.
615 24$aElectrical Power Engineering.
676   $a620
700   $aWang$b Zhanshan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0762831
702   $aLiu$b Zhenwei$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZheng$b Chengde$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910254181603321
996   $aQualitative Analysis and Control of Complex Neural Networks with Delays$92538829
997   $aUNINA