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
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
Exponential stability on stochastic neural networks with discrete interval and distributed delays
IEEE Transactions on Neural Networks
Exponential synchronization of hybrid coupled networks with delayed coupling
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons
IEEE Transactions on Neural Networks
Networked synchronization control of coupled dynamic networks with time-varying delay
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Synchronisation in singular hybrid complex networks with delayed coupling
International Journal of Systems, Control and Communications
Grey-prediction self-organizing fuzzy controller for robotic motion control
Information Sciences: an International Journal
Intelligent control of a constant turning force system with fixed metal removal rate
Applied Soft Computing
ACM Transactions on Sensor Networks (TOSN)
Design of a grey-prediction self-organizing fuzzy controller for active suspension systems
Applied Soft Computing
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In this paper, we propose and study a general array model of coupled delayed neural networks with hybrid coupling, which is composed of constant coupling, discrete-delay coupling, and distributed-delay coupling. Based on the Lyapunov functional method and Kronecker product properties, several sufficient conditions are established to ensure global exponential synchronization based on the design of the coupling matrices, the inner linking matrices, and/or some free matrices representing the relationships between the system matrices. The conditions are expressed within the framework of linear matrix inequalities, which can be easily computed by the interior-point method. In addition, a typical chaotic cellular neural network is used as the node in the array to illustrate the effectiveness and advantages of the theoretical results.