4.7 Article

Projective synchronization in finite-time for fully quaternion-valued memristive networks with fractional-order

期刊

CHAOS SOLITONS & FRACTALS
卷 147, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2021.110911

关键词

Fractional calculus; Quaternion-valued; Memristive neural network; Finite-time projective synchronization

资金

  1. Excellent Doctor Innovation Program of Xinjiang Uyghur Autonomous Region [XJ2020G005]
  2. National Natural Science Foundation of Peoples Republic of China [U1703262, 61866036, 61963033]
  3. Doctor Foundation of Xinjiang Uygur Autonomous Region [620320022]

向作者/读者索取更多资源

This paper investigates the finite-time projective synchronization of fractional-order quaternion-valued memristive networks with discontinuous activation functions. By introducing the sign function related to quaternion and designing quaternion-valued controllers, several synchronization conditions are proposed. Notably, the settling times are evaluated validly by the established finite-time fractional-order inequality, and the addressed networks are converted into systems with parametric uncertainty.
Based on the non-separation method, the finite-time projective synchronization of fractional-order quaternion-valued memristive networks with discontinuous activation functions is investigated in this paper. Firstly, the sign function related to quaternion is introduced and some properties concerning it are developed. Secondly, two different quaternion-valued controllers are designed by feat of the proposed sign function. Subsequently, several synchronization conditions are derived and the settling times are evaluated validly by the established finite-time fractional-order inequality. Especially noteworthy is that the addressed networks are converted into systems with parametric uncertainty in the framework of differential inclusion and measurable selection. Finally, a numerical example is given to demonstrate the correctness of theoretical analyses. (c) 2021 Elsevier Ltd. All rights reserved.

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