• Electronics Optics & Control
  • Vol. 27, Issue 12, 32 (2020)
SHI Hui1, TONG Dongbing2、*, and CHEN Qiaoyu3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.12.007 Cite this Article
    SHI Hui, TONG Dongbing, CHEN Qiaoyu. Mean-Square Exponential Stability of Neutral Neural Networks Based on Sliding Mode Control[J]. Electronics Optics & Control, 2020, 27(12): 32 Copy Citation Text show less

    Abstract

    In this paper, the mean-square exponential stability is studied for neutral neural networks with time-varying delays, uncertain parameters and Lévy noise.Based on the sliding mode control, the generalized It? formula and the Lyapunov stability theory, several sufficient conditions are obtained for the reachability of the specified integral Sliding Mode Surface (SMS) and the mean-square exponential stability of neutral neural networks on SMS.Finally, the effectiveness of the obtained result is verified by a numerical simulation.
    SHI Hui, TONG Dongbing, CHEN Qiaoyu. Mean-Square Exponential Stability of Neutral Neural Networks Based on Sliding Mode Control[J]. Electronics Optics & Control, 2020, 27(12): 32
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