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Global Mittag-Leffler stability for fractional-order quaternion-valued neural networks with piecewise constant arguments and impulses

Author

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  • Yanxi Chen
  • Qiankun Song
  • Zhenjiang Zhao
  • Yurong Liu
  • Fuad E. Alsaadi

Abstract

This paper is devoted to analysing the global Mittag-Leffler stability of fractional-order quaternion-valued neural networks with piecewise constant arguments and impulses. The quaternion direct method is adopted to address the considered model avoiding any decomposition. By utilising the matrix inequality technique and Lyapunov direct method, some sufficient conditions to guarantee the global Mittag-Leffler stability of equilibrium point for the considered model are obtained in the form of quaternion-valued linear matrix inequalities (LMIs). To certify the validity of the derived result, a numerical example is presented.

Suggested Citation

  • Yanxi Chen & Qiankun Song & Zhenjiang Zhao & Yurong Liu & Fuad E. Alsaadi, 2022. "Global Mittag-Leffler stability for fractional-order quaternion-valued neural networks with piecewise constant arguments and impulses," International Journal of Systems Science, Taylor & Francis Journals, vol. 53(8), pages 1756-1768, June.
    • Handle: RePEc:taf:tsysxx:v:53:y:2022:i:8:p:1756-1768
    DOI: 10.1080/00207721.2021.2023688
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