Improved results on passivity analysis of neutral-type neural networks with time-varying delays
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Creator 1. A. Klamnoi
2. N. Yotha
3. W. Weera
4. T. Botmart
Title Improved results on passivity analysis of neutral-type neural networks with time-varying delays
Publisher Thai Society of Mechanical Engineers (TSME)
Publication Year 2561
Journal Title Journal of Research and Applications in Mechanical Engineering (JRAME)
Journal Vol. 6
Journal No. 2
Page no. 71-81
Keyword Passivity, neutral-type neural networks, interval time-varying delay, integral inequality
URL Website https://tci-thaijo.org/index.php/jrame/index
Website title Journal of Research and Applications in Mechanical Engineering (JRAME)
ISSN 2229-2152
Abstract This paper is considered the problem of the robust passivity analysis for neutral-type neural networks with interval time-varying delays. By constructing an augmented Lyapunov-Krasovskii functional and using the double integral inequality with approach to estimate the derivative of the Lyapunov-Krasovskii functionals. Then, the sufficient conditions are established to ensure the robust passivity of the considered neutral-type neural networks with interval time-varying delays. These robust passivity conditions are obtained in terms of linear matrix inequalities, which can be investigated easily by using standard algorithms. Finally, numerical examples are given to demonstrate the effectiveness of the proposed method.
Journal of Research and Applications in Mechanical Engineering

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