期刊
ADVANCES IN DIFFERENCE EQUATIONS
卷 2020, 期 1, 页码 -出版社
SPRINGER
DOI: 10.1186/s13662-020-02566-4
关键词
Distributed delayed inertial neural networks; Non-reduced order technique; Exponential stability
资金
- National Natural Science Foundation of China [11971076, 11771059, 51839002]
This paper explores a class of unbounded distributed delayed inertial neural networks. By introducing some new differential inequality analysis and abandoning the traditional order reduction technique, some new assertions are derived to verify the global exponential stability of the addressed networks, which improve and generalize some recently published articles. Finally, two cases of numerical examples and simulations are given to illustrate these analytical conclusions.
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