期刊
SYSTEMS & CONTROL LETTERS
卷 118, 期 -, 页码 62-68出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sysconle.2018.05.015
关键词
Stochastic delay differential equation; Neural network; Time-varying delay; pth moment exponential stability; Levy noise
资金
- National Natural Science Foundation of China [61773217, 61374080, 11531006]
- Natural Science Foundation of Jiangsu Province [BK20161552]
- Qing Lan Project of Jiangsu Province
This paper is concerned with pth moment exponential stability problem for a class of stochastic delay differential equations driven by Levy processes. Several new stability theorems are obtained by developing a method-proof by contradiction. Moreover, the results are applied to investigate the pth moment exponential stability of stochastic neural networks with Levy noise. In particular, the time-varying delay in our results is not required to be differentiable, even not continuous. The obtained results improve greatly some previous works given in the literature. In particular, our method can easily correct the incorrect proofs appeared in two recent papers. Finally, two examples are provided to show the effectiveness of the theoretical results. (C) 2018 Elsevier B.V. All rights reserved.
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