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

电气工程与控制科学学院

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

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.

源语言	英语
页（从-至）	1306-1310
页数	5
期刊	IEEE Transactions on Circuits and Systems II: Express Briefs
卷	71
期	3
DOI	https://doi.org/10.1109/TCSII.2023.3323616
出版状态	已出版 - 1 3月 2024

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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 - Wen, Shiping

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

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