H-infinity State Estimation Control of Neural Networks with Distributed Time-Varying Delays

Author

Saravanakumar, R. ; Ali, M. Syed

Author_Institution

Dept. of Math., Thiruvalluvar Univ., Vellore, India

fYear

2014

Firstpage

11

Lastpage

14

Abstract

This paper is concerned with H∞ state estimation control problem of neural networks with distributed time-varying delays. The time-varying delay is need to be bounded and continuous. A novel delay-dependent concept of H∞ state estimation control is proposed to estimate the H∞ performance analysis and global asymptotic stability of the concerned neural networks. By constructing suitable Lyapunov-Krasovskii functional (LKF) and using Linear Matrix Inequality (LMI) technique, sufficient conditions for delay-dependent H∞ performances are obtained, which can be easily solved by some standard numerical algorithms. Finally numerical example is given to illustrate the usefulness and effectiveness of the proposed theoretical results.

Keywords

H^∞ control; Lyapunov matrix equations; asymptotic stability; delay systems; distributed control; linear matrix inequalities; neurocontrollers; state estimation; time-varying systems; H∞ performance analysis; H∞ state estimation control; LKF; LMI technique; Lyapunov-Krasovskii functional; delay-dependent H∞ performances; distributed time-varying delays; global asymptotic stability; linear matrix inequality; neural networks; Asymptotic stability; Biological neural networks; Delays; Linear matrix inequalities; State estimation; Symmetric matrices; Distributed delay; H8 state estimation; Linear Matrix Inequality(LMI); Neural networks; Time-varying delay;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on

Type

conf

DOI

10.1109/ISCMI.2014.36

Filename

7079344