4.3 Article

Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks

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出版社

SPRINGER
DOI: 10.1186/s13660-021-02640-9

关键词

pth moment exponential stability; Integral inequality; Impulse; Hopfield neural networks; Delay

资金

  1. National Natural Science Foundation of China [61573193, 61473213, 61671338, U1509217]
  2. Hubei Province Key Laboratory of Systems Science in Metallurgical Process (Wuhan University of Science and Technology) [Z201901]
  3. National Natural Science Foundation of Zhejiang Province [U1509217]

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This paper investigates the pth moment exponential stability for a class of impulsive delayed Hopfield neural networks and provides concise algebraic criteria through a new method. The results show that neither a complicated Lyapunov function nor the differentiability of the delay function is required for the discussion.
In this paper, the pth moment exponential stability for a class of impulsive delayed Hopfield neural networks is investigated. Some concise algebraic criteria are provided by a new method concerned with impulsive integral inequalities. Our discussion neither requires a complicated Lyapunov function nor the differentiability of the delay function. In addition, we also summarize a new result on the exponential stability of a class of impulsive integral inequalities. Finally, one example is given to illustrate the effectiveness of the obtained results.

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