Synopsis
This 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Xin Wang, Yu Xue, Xian Zhang and Yantao Wang are with the School of Mathematical Science, Heilongjiang University, Harbin 150080, China, and also with the Heilongjiang Provincial Key Laboratory of the Theory and Computation of Complex Systems, Heilongjiang University, Harbin 150080, China.
Xin Wang received the Ph.D. degree in navigation guidance and control from Northeastern University, Shenyang, China, in 2016. His research interests include fault diagnosis and fault-tolerant control, and time-delay systems. Yu Xue received the Ph.D. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2007. Her research interests include the analysis and design of delayed dynamic systems. Xian Zhang received the Ph.D. degree in control theory from the Queen's University of Belfast, Belfast, U.K., in 2004. His research interests include neural networks and genetic regulatory networks. Yantao Wang has been dedicated to the research of neural networks since she started working.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Analysis and Design of Delayed Neural Networks
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This 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 todelayedneuralnetworks. It is written for graduate students and research level mathematicians and is suitable for postgraduates or as a reference. 290 pp. Englisch. N° de réf. du vendeur 9789819611768
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Buch. Etat : Neu. Analysis and Design of Delayed Neural Networks | Xin Wang (u. a.) | Buch | xxiii | Englisch | 2025 | Springer | EAN 9789819611768 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 132505682
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch. N° de réf. du vendeur 9789819611768
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This 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 todelayedneuralnetworks. It is written for graduate students and research level mathematicians and is suitable for postgraduates or as a reference. N° de réf. du vendeur 9789819611768
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