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Complex-valued neural networks systems with time delaystability analysis and (anti-)synchronization control /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Complex-valued neural networks systems with time delayby Ziye Zhang ... [et al.].
Reminder of title:	stability analysis and (anti-)synchronization control /
other author:	Zhang, Ziye.
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xii, 229 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-981-19-5450-4
ISBN:	9789811954504$q(electronic bk.)

Complex-valued neural networks systems with time delaystability analysis and (anti-)synchronization control /
Complex-valued neural networks systems with time delaystability analysis and (anti-)synchronization control /[electronic resource] :by Ziye Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2022. - xii, 229 p. :ill., digital ;24 cm. - Intelligent control and learning systems,v. 42662-5466 ;. - Intelligent control and learning systems ;v. 3..

1. Introduction -- 2. Stability Analysis of Delayed Complex-Valued Neural Networks Systems -- 3. Further Behavior Analysis about Stability and Hopf Bifurcation -- 4. Stability Analysis Based on Nonlinear Measure Approach -- 5. Lagrange Exponential Stability for Delayed Complex-Valued Neural Networks Systems -- 6. Synchronization Control: Nonseparable Case -- 7. Anti-Synchronization Control: Nonseparable Case -- 8. Anti-Synchronization Control: Separable Case -- 9. Finite/Fixed-Time Synchronization Control -- 10. Fixed-Time Pinning Synchronization and Adaptive Synchronization.

This book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay. It brings out the characteristic systematism in them and points out further insight to solve relevant problems. It presents a comprehensive, up-to-date, and detailed treatment of dynamical behaviors including stability analysis and (anti-)synchronization control. The materials included in the book are mainly based on the recent research work carried on by the authors in this domain. The book is a useful reference for all those from senior undergraduates, graduate students, to senior researchers interested in or working with control theory, applied mathematics, system analysis and integration, automation, nonlinear science, computer and other related fields, especially those relevant scientific and technical workers in the research of complex-valued neural network systems, dynamic systems, and intelligent control theory.

ISBN: 9789811954504$q(electronic bk.)

Standard No.: 10.1007/978-981-19-5450-4doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Complex-valued neural networks systems with time delaystability analysis and (anti-)synchronization control /
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505 0 $a 1. Introduction -- 2. Stability Analysis of Delayed Complex-Valued Neural Networks Systems -- 3. Further Behavior Analysis about Stability and Hopf Bifurcation -- 4. Stability Analysis Based on Nonlinear Measure Approach -- 5. Lagrange Exponential Stability for Delayed Complex-Valued Neural Networks Systems -- 6. Synchronization Control: Nonseparable Case -- 7. Anti-Synchronization Control: Nonseparable Case -- 8. Anti-Synchronization Control: Separable Case -- 9. Finite/Fixed-Time Synchronization Control -- 10. Fixed-Time Pinning Synchronization and Adaptive Synchronization.
520 $a This book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay. It brings out the characteristic systematism in them and points out further insight to solve relevant problems. It presents a comprehensive, up-to-date, and detailed treatment of dynamical behaviors including stability analysis and (anti-)synchronization control. The materials included in the book are mainly based on the recent research work carried on by the authors in this domain. The book is a useful reference for all those from senior undergraduates, graduate students, to senior researchers interested in or working with control theory, applied mathematics, system analysis and integration, automation, nonlinear science, computer and other related fields, especially those relevant scientific and technical workers in the research of complex-valued neural network systems, dynamic systems, and intelligent control theory.
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