@article{(Open Science Index):https://publications.waset.org/pdf/9997693,
	  title     = {Exponential Stability Analysis for Uncertain Neural Networks with Discrete and Distributed Time-Varying Delays},
	  author    = {Miaomiao Yang and  Shouming Zhong},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper studies the problem of exponential stability analysis for uncertain neural networks with discrete and distributed time-varying delays. Together with a suitable augmented Lyapunov Krasovskii function, zero equalities, reciprocally convex approach and a novel sufficient condition to guarantee the exponential stability of the considered system. The several exponential stability criterion proposed in this paper is simpler and effective. Finally,numerical examples are provided to demonstrate the feasibility and effectiveness of our results.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {8},
	  number    = {1},
	  year      = {2014},
	  pages     = {193 - 200},
	  ee        = {https://publications.waset.org/pdf/9997693},
	  url   	= {https://publications.waset.org/vol/85},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 85, 2014},
	}