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Neural Processing Letters
Published in: Neural Processing Letters 1/2019

31-10-2018

Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays

Authors: M. Syed Ali, N. Gunasekaran, Young Hoon Joo

Published in: Neural Processing Letters | Issue 1/2019

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Abstract

In this paper, we consider the problem of sampled-data control for neutral type neural networks with mixed time-varying delay components. A proper Lyapunov–Krasovskii functional is constructed by dividing the discrete and neutral delay intervals with triple and quadruplex integral terms. By employing the input delay approach, the sampling period is converted into a bounded time-vary delay in the estimation error dynamic. By employing Lyapunov-functional approach and utilizing LMI technique, sufficient conditions have been derived to guarantee that the estimation error dynamics is asymptotically stable. A numerical example is provided to illustrate the usefulness and effectiveness of the obtained results.
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Metadata
Title
Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays
Authors
M. Syed Ali
N. Gunasekaran
Young Hoon Joo
Publication date
31-10-2018
Publisher
Springer US
Published in
Neural Processing Letters / Issue 1/2019
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9946-x

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