Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks With Mixed Delays

Chuntao Pang; Song Zhu; Mouquan Shen; Xiaoyang Liu; Shiping Wen

doi:10.1109/TCSII.2023.3323616

Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks With Mixed Delays

Chuntao Pang, Song Zhu, Mouquan Shen, Xiaoyang Liu, Shiping Wen

COLLEGE OF ELECTRICAL ENGINEERING AND CONTROL SCIENCE

Research output: Contribution to journal › Article › peer-review

Abstract

In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.

Original language	English
Pages (from-to)	1306-1310
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	71
Issue number	3
DOIs	https://doi.org/10.1109/TCSII.2023.3323616
State	Published - 1 Mar 2024

Keywords

Neutral-type neural networks
global exponential stability
mixed time delays
switched system

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10.1109/TCSII.2023.3323616

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abstract = "In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.",

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AU - Zhu, Song

AU - Shen, Mouquan

AU - Liu, Xiaoyang

AU - Wen, Shiping

PY - 2024/3/1

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N2 - In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.

AB - In this brief, the global exponential stability problem for switched neutral-type neural networks (SNTNNs) with mixed time delays is focused. By spectral properties of Metzler matrix and comparison principle, a sufficient condition for the global exponential stability of the considered SNTNNs is derived, which can be easily tested in practice. Moreover, the result obtained in this brief generalizes the existing achievement and is also effective for NNs without neutral-type delay or switching. Finally, a simple discussion and an illustrative example are presented.

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JF - IEEE Transactions on Circuits and Systems II: Express Briefs

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ER -

Novel Exponential Stability Criteria for Switched Neutral-Type Neural Networks With Mixed Delays

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Keywords

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