LEADER 03481nam 22005655 450 001 9910999686103321 005 20251212142403.0 010 $a981-9611-77-6 024 7 $a10.1007/978-981-96-1177-5 035 $a(CKB)38485073200041 035 $a(DE-He213)978-981-96-1177-5 035 $a(MiAaPQ)EBC32011964 035 $a(Au-PeEL)EBL32011964 035 $a(OCoLC)1515403571 035 $a(EXLCZ)9938485073200041 100 $a20250416d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and Design of Delayed Neural Networks /$fby Xin Wang, Yu Xue, Xian Zhang, Yantao Wang 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XXIII, 290 p. 125 illus., 123 illus. in color.) 225 1 $aIntelligent Control and Learning Systems,$x2662-5466 ;$v19 311 08$a981-9611-76-8 327 $aIntroduction Backgrounds of NNs -- Global Exponential Stability and Stabilization -- Global Exponential Stability Affected Impulses -- Global Exponential Synchronization -- State Estimation -- Global Exponential Stability and Stabilization -- Lagrangian Global Exponential Stability and Stabilization -- Global Robust Exponential Stability -- H? Control -- Global Exponential Synchronization -- Lp Stability. 330 $aThis book provides a direct method based on system solutions to address the problems related to the analysis and control of delayed neural networks. The method proposed in this book is important for the following reasons: It does not involve the construct of any Lyapunov-Krasovskii functional (LKF), which overcomes the difficulty in constructing an appropriate and effective LKF; It can provide more simpler sufficient conditions, and hence it possesses less computational complexity; It can result in delay-dependent global exponential stability criteria that can used to give the decay rate estimation of the state; It is suitable for analysis and design problems of most system models with (multiple) delays after a small modification. The book is divided into 11 chapters, and focuses on the analysis and design problems related to delayed neural networks. It is written for graduate students and research level mathematicians and is suitable for postgraduates or as a reference. 410 0$aIntelligent Control and Learning Systems,$x2662-5466 ;$v19 606 $aNeural networks (Computer science) 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aXarxes neuronals (Informàtica)$2thub 606 $aLlibres electrònics$2thub 615 0$aNeural networks (Computer science) 615 14$aMathematical Models of Cognitive Processes and Neural Networks. 615 7$aXarxes neuronals (Informàtica) 615 7$aLlibres electrònics 676 $a519 700 $aWang$b Xin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0847441 702 $aXue$b Yu$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhang$b Xian$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Yantao$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999686103321 996 $aAnalysis and Design of Delayed Neural Networks$94375904 997 $aUNINA