Adaptive exponential synchronization of delayed CohenGrossberg neural networks with discontinuous activations
This paper treats of the exponential synchronization issue of delayed CohenGrossberg neural networks with discontinuous activations. By utilizing Lyapunov stability theory, an adaptive controller is designed such that the response system can be exponentially synchronized with a drive system. Our synchronization criteria are easily verified and the obtained results are also applicable to neural networks with continuous activations since they are a special case of neural networks with discontinuous activations. Results of this paper improve a few previous known results. Finally, numerical simulations are given to verify the effectiveness of the theoretical results.
exponential synchronization neural networks lyapunov stability theory adaptive controller discontinuous neuron activations