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Neural Processing Letters

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20-05-2022

Asynchronous \(H_\infty \) Filtering for Singular Markov Jump Neural Networks with Mode-Dependent Time-Varying Delays

Authors: Yuexia Yin, Guangming Zhuang, Jianwei Xia, Guoliang Chen

Published in: Neural Processing Letters | Issue 6/2022

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Abstract

This article proposes asynchronous \(H_\infty \) filtering for singular Markov jump neural networks with mode-dependent time-varying delays. Firstly, regularity and impulse-freeness are acquired by singular value decomposition technique, stochastic stability conditions and \(H_\infty \) performance index are obtained by Lyapunov–Krasovskill functional method. Then, a hidden Markov model is used to describe asynchronism between the original system and filter, and asynchronous filtering is realized by virtue of linear matrix inequalities. In the end, the practicability of proposed method is verified by a numerical example and an analog resistance-capacitance network circuit system.

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Title: Asynchronous Filtering for Singular Markov Jump Neural Networks with Mode-Dependent Time-Varying Delays
Authors: Yuexia Yin
Guangming Zhuang
Jianwei Xia
Guoliang Chen
Publication date: 20-05-2022
Publisher: Springer US
Published in: Neural Processing Letters / Issue 6/2022
Print ISSN: 1370-4621
Electronic ISSN: 1573-773X
DOI: https://doi.org/10.1007/s11063-022-10869-8

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