Synchronization for fractional-order neural networks with unbounded delays


  • Thi-Hong Duong Thai Nguyen University of Sciences, Thai Nguyen, Viet Nam
  • Thu-Loan Vu-Thi Thai Nguyen University of Agriculture and Forestry, Thai Nguyen, Viet Nam



This paper deals with synchronization analysis problem for a class of fractional-order neural networks with unbounded delays. Using the Lyapunov function method combined with fractional Halanay inequality, we derive a novel sufficient condition for asymptotic stability of the error system resulting in two neural networks are synchronized. The obtained conditions are given in terms of linear matrix inequalities, which therefore can be efficiently checked. A numerical example is proposed to illustrate the effectiveness of the obtained results.


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How to Cite

Duong, T.-H., & Vu-Thi, T.-L. (2023). Synchronization for fractional-order neural networks with unbounded delays. HPU2 Journal of Science: Natural Sciences and Technology, 2(3), 59–66.

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Natural Sciences and Technology