Distributed parameter systems: theory and applications
Distributed parameter systems: theory and applications
Global exponential stability of delayed Hopfield neural networks
Neural Networks
Dynamical Behaviors of a Large Class of General Delayed Neural Networks
Neural Computation
Computers & Mathematics with Applications
Theoretical Computer Science
Synchronization of identical neural networks and other systems with an adaptive coupling strength
International Journal of Circuit Theory and Applications
Object recognition using multilayer Hopfield neural network
IEEE Transactions on Image Processing
Global -Stability of Delayed Neural Networks With Unbounded Time-Varying Delays
IEEE Transactions on Neural Networks
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In this paper, the author investigates the global synchronization problem for linearly coupled neural networks with reaction-diffusion terms and unbounded time delays. The main difference of this paper from previous works in literature is that the time delay can be unbounded and non-differential. Moreover, the pinning control problem of such neural networks is also investigated. Some sufficient criteria for synchronization are given by means of the linear matrix inequality (LMI). Finally, numerical simulations are also given to show the validity of the obtained criteria.