@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}, }