Global exponential synchronization of fuzzy cellular neural networks with delays and reaction-diffusion terms

Authors:
Fang Yu;Haijun Jiang
Affiliations:
College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, P.R. China;College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, P.R. China
Venue:
Neurocomputing
Year:
2011

Citing 2
Cited 4

Neural network design

Neural network design
Global exponential synchronization in delayed reaction-diffusion cellular neural networks with the Dirichlet boundary conditions

Mathematical and Computer Modelling: An International Journal

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Abstract

The global exponential synchronization for a class of fuzzy cellular neural networks with delays and reaction-diffusion terms is discussed. Some new sufficient conditions are obtained by using the Lyapunov functional method, many real parameters and inequality techniques. The result is also easy to check and plays an important role in the design and application of globally exponentially synchronization. Finally, an example is given to verify our results.