Computers & Mathematics with Applications
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Local synchronization of a complex network model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
IEEE Transactions on Neural Networks
Distributed consensus filtering in sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Globally exponential synchronization and synchronizability for general dynamical networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Second-order consensus for multiagent systems with directed topologies and nonlinear dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Neural Networks
Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms
IEEE Transactions on Neural Networks
Exponential synchronization of hybrid coupled networks with delayed coupling
IEEE Transactions on Neural Networks
Robust state estimation for neural networks with discontinuous activations
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Networked synchronization control of coupled dynamic networks with time-varying delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, the synchronization control problem is considered for two coupled discrete-time complex networks with time delays. The network under investigation is quite general to reflect the reality, where the state delays are allowed to be time varying with given lower and upper bounds, and the stochastic disturbances are assumed to be Brownian motions that affect not only the network coupling but also the overall networks. By utilizing the Lyapunov functional method combined with linear matrix inequality (LMI) techniques, we obtain several sufficient delay-dependent conditions that ensure the coupled networks to be globally exponentially synchronized in the mean square. A control law is designed to synchronize the addressed coupled complex networks in terms of certain LMIs that can be readily solved using the Matlab LMI toolbox. Two numerical examples are presented to show the validity of our theoretical analysis results.