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Improved Results on Stability Analysis for Delayed Neural Network

10$
ARTICLE DOWNLOAD

Improved Results on Stability Analysis for Delayed Neural Network

10$

Jian-An Wang, Li Fan & Xin-Yu Wen 

Abstract

This paper deals with the delay-dependent stability analysis problem for neural network with a time-varying delay. A proper Lyapunov-Krasovskii functional (LKF) is established by revealing the features of the improved Jensen integral inequality and considering two complementary integral couples with more cross information. Based on the improved Jensen inequality, a generalized integral inequality involving more free matrices is developed. With the help of the new LKF and integral inequality, some improved stability conditions with less conservatism are derived in terms of linear matrix inequality (LMI). The efficiency of theoretical results is verified by three typical numerical examples.

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Year 2020
Language English
Format PDF
DOI 10.1007/s12555-019-0536-0