@article{(International Science Index):https://publications.waset.org/pdf/5155,
	  title     = {Globally Exponential Stability for Hopfield Neural Networks with Delays and Impulsive Perturbations},
	  author    = {Adnene Arbi and  Chaouki Aouiti and  Abderrahmane Touati},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we consider the global exponential stability of the equilibrium point of Hopfield neural networks with delays and impulsive perturbation. Some new exponential stability criteria of the system are derived by using the Lyapunov functional method and the linear matrix inequality approach for estimating the upper bound of the derivative of Lyapunov functional. Finally, we illustrate two numerical examples showing the effectiveness of our theoretical results.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {6},
	  number    = {3},
	  year      = {2012},
	  pages     = {311 - 316},
	  ee        = {https://publications.waset.org/pdf/5155},
	  url   	= {https://publications.waset.org/vol/63},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {International Science Index 63, 2012},
	}