Exponential synchronization of a class of neural networks with time-varying delays

Authors:
Chao-Jung Cheng;Teh-Lu Liao;Jun-Juh Yan;Chi-Chuan Hwang
Affiliations:
Dept. of Inf. Eng., Kun Shan Univ., Tainan, Taiwan;-;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2006

Citing 0
Cited 16

Exponential synchronization of stochastic perturbed chaotic delayed neural networks

Neurocomputing
Letters: Exponential synchronization of chaotic neural networks with mixed delays

Neurocomputing
Letters: Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects

Neurocomputing
Synchronization and Parameter Identification for a Class of Chaotic Neural Networks with Time-Varying Delays Via Adaptive Control

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Local synchronization of a complex network model

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Global asymptotic synchronization of a class of chaotic neural networks by an adaptive method

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
New delay-dependent exponential H∞ synchronization for uncertain neural networks with mixed time delays

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust global exponential synchronization of uncertain chaotic delayed neural networks via dual-stage impulsive control

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Exponential synchronization of neural networks with time-varying mixed delays and sampled-data

Neurocomputing
Exponential synchronization of delayed fuzzy Cohen-Grossberg neural networks with reaction diffusion term

AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Synchronization control of a class of memristor-based recurrent neural networks

Information Sciences: an International Journal
Exponential synchronization for reaction-diffusion networks with mixed delays in terms of p-norm via intermittent driving

Neural Networks
Global exponential synchronization in delayed reaction-diffusion cellular neural networks with the Dirichlet boundary conditions

Mathematical and Computer Modelling: An International Journal
Exponential synchronization of chaotic neural networks with mixed delays and impulsive effects via output coupling with delay feedback

Mathematical and Computer Modelling: An International Journal
Exponential Synchronization of Stochastic Fuzzy Cellular Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control

Neural Processing Letters
Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper aims to present a synchronization scheme for a class of delayed neural networks, which covers the Hopfield neural networks and cellular neural networks with time-varying delays. A feedback control gain matrix is derived to achieve the exponential synchronization of the drive-response structure of neural networks by using the Lyapunov stability theory, and its exponential synchronization condition can be verified if a certain Hamiltonian matrix with no eigenvalues on the imaginary axis. This condition can avoid solving an algebraic Riccati equation. Both the cellular neural networks and Hopfield neural networks with time-varying delays are given as examples for illustration.