LEADER 04290nam  22006255  450 
001 9910299571103321
005 20200707002649.0
010   $a981-10-4907-6
024 7 $a10.1007/978-981-10-4907-1
035   $a(CKB)4340000000062861
035   $a(DE-He213)978-981-10-4907-1
035   $a(MiAaPQ)EBC4873449
035   $a(PPN)202989291
035   $a(EXLCZ)994340000000062861
100   $a20170607d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAnalysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms /$fby Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (XIII, 220 p. 43 illus., 41 illus. in color.) 
311   $a981-10-4906-8 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Pinning control strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Pinning control for synchronization of Coupled Reaction-Diffusion Neural Networks with directed topologies -- Impulsive control for the synchronization of Coupled Reaction-Diffusion Neural Networks -- Novel adaptive strategies for synchronization of Coupled Reaction-Diffusion Neural Networks -- Synchronization and adaptive control of Coupled Reaction-Diffusion Neural Networks with hybrid coupling -- Passivity-based synchronization of Coupled Reaction-Diffusion Neural Networks with time-varying delay -- Passivity and synchronization of Coupled Reaction-Diffusion Neural Networks with adaptive coupling -- Passivity analysis of Coupled Reaction-Diffusion Neural Networks with Dirichlet boundary conditions -- Passivity of directed and undirected Coupled Reaction-Diffusion Neural Networks with adaptive coupling weights.
330   $aThis book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.
606   $aControl engineering
606   $aNeural networks (Computer science) 
606   $aArtificial intelligence
606   $aStatistical physics
606   $aDynamical systems
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComplex Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/P33000
615  0$aControl engineering.
615  0$aNeural networks (Computer science) .
615  0$aArtificial intelligence.
615  0$aStatistical physics.
615  0$aDynamical systems.
615 14$aControl and Systems Theory.
615 24$aMathematical Models of Cognitive Processes and Neural Networks.
615 24$aArtificial Intelligence.
615 24$aComplex Systems.
676   $a629.8
700   $aWang$b Jin-Liang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0634007
702   $aWu$b Huai-Ning$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHuang$b Tingwen$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aRen$b Shun-Yan$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299571103321
996   $aAnalysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms$92537889
997   $aUNINA