Stability in Gilpin-Ayala competition models with diffusion
Nonlinear Analysis: Theory, Methods & Applications
Dynamics of a class of discete-time neural networks and their comtinuous-time counterparts
Mathematics and Computers in Simulation
Globally exponential stability conditions for cellular neural networks with time-varying delays
Applied Mathematics and Computation
Stabilisation of Cellular Neural Networks with time-varying delays and reaction-diffusion terms
International Journal of Intelligent Systems Technologies and Applications
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Some sufficient conditions for the ultimate boundedness and global exponential stability of a class of nonautonomous reaction-diffusion cellular neural networks (RCNNs) with distributed delays are obtained by means of the Lyapunov functional method. Without assuming that the activation functions f"i"j"l(@?) are bounded, the results extend and improve the earlier publications.