Complex-Valued Neural Networks Systems with Time Delay

Beschreibung

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.

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.

Provides more complete interpretation of dynamical behaviors for complex-valued neural networks systems with time delay Considers anti-synchronization control, finite/fixed-time synchronization, etc., from the point of cost saving Diversifies stability forms including asymptotic stability, finite-time stability, and Lagrange exponential stability

Autor*in

Ziye Zhang

Themen in »Complex-Valued Neural Networks Systems with Time Delay«

systems analysis complex-valued neural networks time delay asymptotic stability Hopf bifurcation finite-time stability Lagrange exponential stability anti-synchronization control finite-time synchronization fixed-time synchronization pinning synchronization finite/fixed-time synchronization adaptive synchronization

Stimmen zu »Complex-Valued Neural Networks Systems with Time Delay«

Details

Link teilen