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Boundedness and Stability for a Class of Timescale-Type Time-Varying Systems

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Advances in Neural Networks – ISNN 2018 (ISNN 2018)

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Abstract

This paper investigated a class of time-varying systems on time scales. Based on the general theory of time scales, the ultimate boundedness and asymptotic stability of the system is studied. Two examples illustrate the validity of the obtained results.

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Acknowledgments

This research was supported by National Priority Research Project NPRP 8-274-2-107, funded by Qatar National Research Fund <http://www.qnrf.org/>.

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Authors and Affiliations

  1. School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China

    Qiang ** Wen & Zhigang Zeng

  2. Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan, 430074, China

    Qiang ** Wen & Zhigang Zeng

  3. Department of Mathematics, Texas A&M University at Qatar, Doha, Qatar

    Tingwen Huang

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  1. Qiang **ao
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  2. Zhigang Zeng
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Correspondence to Qiang **%20Wen%2C%20Zhigang%20Zeng%20et%20al&contentID=10.1007%2F978-3-319-92537-0_80&copyright=Springer%20International%20Publishing%20AG%2C%20part%20of%20Springer%20Nature&publication=eBook&publicationDate=2018&startPage=703&endPage=710&imprint=Springer%20International%20Publishing%20AG%2C%20part%20of%20Springer%20Nature">Reprints and permissions

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**ao, Q., Wen, S., Zeng, Z., Huang, T. (2018). Boundedness and Stability for a Class of Timescale-Type Time-Varying Systems. In: Huang, T., Lv, J., Sun, C., Tuzikov, A. (eds) Advances in Neural Networks – ISNN 2018. ISNN 2018. Lecture Notes in Computer Science(), vol 10878. Springer, Cham. https://doi.org/10.1007/978-3-319-92537-0_80

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  • DOI: https://doi.org/10.1007/978-3-319-92537-0_80

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92536-3

  • Online ISBN: 978-3-319-92537-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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