@article{(Open Science Index):https://publications.waset.org/pdf/9997830,
	  title     = {H∞ State Estimation of Neural Networks with Discrete and Distributed Delays},
	  author    = {Biao Qin and  Jin Huang},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, together with some improved
Lyapunov-Krasovskii functional and effective mathematical
techniques, several sufficient conditions are derived to guarantee the
error system is globally asymptotically stable with H∞
performance, in which both the time-delay and its time variation
can be fully considered. In order to get less conservative results of
the state estimation condition, zero equalities and reciprocally
convex approach are employed. The estimator gain matrix can be
obtained in terms of the solution to linear matrix inequalities. A
numerical example is provided to illustrate the usefulness and
effectiveness of the obtained results.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {8},
	  number    = {2},
	  year      = {2014},
	  pages     = {427 - 435},
	  ee        = {https://publications.waset.org/pdf/9997830},
	  url   	= {https://publications.waset.org/vol/86},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 86, 2014},
	}