Exponential synchronization of Cohen-Grossberg neural networks via periodically intermittent control

Authors:
Juan Yu;Cheng Hu;Haijun Jiang;Zhidong Teng
Affiliations:
College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China;College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China;College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China;College of Mathematics and System Sciences, Xinjiang University, Urumqi, Xinjiang 830046, PR China
Venue:
Neurocomputing
Year:
2011

Citing 5
Cited 5

Criteria for exponential stability of Cohen-Grossberg neural networks

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Exponential stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms

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Globally Exponential Stability for Delayed Neural Networks Under Impulsive Control

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Dynamical behaviors of impulsive reaction-diffusion Cohen-Grossberg neural network with delays

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Stability of impulsive control systems with time delay

Mathematical and Computer Modelling: An International Journal

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Abstract

In this paper, a class of Cohen-Grossberg neural networks with time-varying delays are studied by designing a periodically intermittent controller. Some novel and effective exponential synchronization criteria are derived by applying some analysis techniques. These results generalize a few previous known results and remove some restrictions on control width and time-delays. Finally, a chaotic Cohen-Grossberg neural network is represented to show the effectiveness and feasibility of our results.