Improved results on H ∞ $\mathcal{H}_{\infty}$ state estimation of static neural networks with interval time-varying delay

Improved results on H ∞ $\mathcal{H}_{\infty}$ state estimation of static neural networks with interval time-varying delay

Abstract This paper is concerned with the problem of the guaranteed H ∞ $\mathcal{H_{\infty}}$ performance state estimation for static neural networks with interval time-varying delay. Based on a modified Lyapunov-Krasovskii functional and the linear matrix inequality technique, a novel delay-depend...

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Bibliographic Details
Main Authors: Yanjun Shu, Xinge Liu
Format: Article
Language:English
Published: SpringerOpen 2016-02-01
Series:Journal of Inequalities and Applications
Subjects:
static neural networks
H ∞ $\mathcal{H_{\infty}}$ state estimation
interval time-varying delay
globally asymptotically stable
Online Access:http://link.springer.com/article/10.1186/s13660-016-0990-7

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http://link.springer.com/article/10.1186/s13660-016-0990-7

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