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Complex-Valued Neural Networks Systems with Time Delay

Stability Analysis and (Anti-)Synchronization Control

Specificaties
Gebonden, blz. | Engels
Springer Nature Singapore | e druk, 2022
ISBN13: 9789811954498
Rubricering
Springer Nature Singapore e druk, 2022 9789811954498
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789811954498
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Inhoudsopgave

<div>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.</div><div><br></div><div><br></div>

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        Complex-Valued Neural Networks Systems with Time Delay