WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/9999220,
	  title     = {Exponential State Estimation for Neural Networks with Leakage, Discrete and Distributed Delays},
	  author    = {Liyuan Wang and  Shouming Zhong},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, the design problem of state estimator for
neural networks with the mixed time-varying delays are investigated
by constructing appropriate Lyapunov-Krasovskii functionals and
using some effective mathematical techniques. In order to derive
several conditions to guarantee the estimation error systems to be
globally exponential stable, we transform the considered systems
into the neural-type time-delay systems. Then with a set of linear
inequalities(LMIs), we can obtain the stable criteria. Finally, three
numerical examples are given to show the effectiveness and less
conservatism of the proposed criterion.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {8},
	  number    = {5},
	  year      = {2014},
	  pages     = {862 - 872},
	  ee        = {https://publications.waset.org/pdf/9999220},
	  url   	= {https://publications.waset.org/vol/89},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 89, 2014},
	}