Abstract
This paper focuses on the pth moment stochastic exponential anti-synchronization problem for delayed complex-valued neural networks (CVNNs). By combining It\(\hat{\mathrm{o}}\)’s differential formula, Halanay inequality and some inequalities techniques, via the designed delay-dependent controller, two different criteria are presented for guaranteeing pth moment anti-synchronization exponentially of the addressed systems by constructing appropriate Lyapunov functionals. Different from the previous works, the anti-synchronization control problem is addressed for CVNNs with the simultaneous existence of stochastic disturbances and time delays. Similar results can also be obtained for delayed CVNNs without stochastic disturbances or real-valued ones. The in-depth analysis results improve and extend some in the existing literature. In the end, two simulation examples are provided to show the effectiveness of the obtained results.
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Acknowledgements
This work was supported by the NSFC 61673215, 61374087, the 333 Project (BRA2017380), a Project Funded by the Priority Academic Program Development of Jiangsu, the Key Laboratory of Jiangsu Province.
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Appendices
Appendix I
By combining Assumptions 1 and 2 with Lemma 1, it follows that
where
Further, one can derive
where
Here, define
By (12), there must exist a sufficiently small number \(\epsilon >0\) such that
Then, according to (33)–(35), it is easy to obtain
Appendix II
From (10) and Lemma 1, (24) can be bounded as
Consequently, we deduce
where
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Guo, R., Xu, S. & Lv, W. \({\varvec{p}}\)th moment stochastic exponential anti-synchronization of delayed complex-valued neural networks. Nonlinear Dyn 100, 1257–1274 (2020). https://doi.org/10.1007/s11071-020-05583-w
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DOI: https://doi.org/10.1007/s11071-020-05583-w