期刊
JOURNAL OF INEQUALITIES AND APPLICATIONS
卷 2021, 期 1, 页码 -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
- National Natural Science Foundation of China [61573193, 61473213, 61671338, U1509217]
- Hubei Province Key Laboratory of Systems Science in Metallurgical Process (Wuhan University of Science and Technology) [Z201901]
- National Natural Science Foundation of Zhejiang Province [U1509217]
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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