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International Journal of Systems Science Volume 49, 2018 - Issue 2
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Original Articles

Global exponential periodicity and stability of memristor-based complex-valued delayed neural networks

Dan LiuDepartment of Statistics, China University of Mining and Technology, Xuzhou, P.R. ChinaView further author information
,
Song ZhuDepartment of Statistics, China University of Mining and Technology, Xuzhou, P.R. ChinaCorrespondence[email protected]
View further author information
&
Er YeDepartment of Fundamental Mathematics, Southeast University, Nanjing, P.R. ChinaView further author information
Pages 231-245 | Received 27 Apr 2017, Accepted 17 Oct 2017, Published online: 06 Nov 2017

Citations (5)

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Read on this site (3)

Sen Li, Huadong Sun & Wenxue Li. (2020) Stochastic hybrid multi-links networks with mixed delays: stabilisation analysis via aperiodically adaptive intermittent control. International Journal of Systems Science 51:5, pages 852-877.
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Nallappan Gunasekaran & Guisheng Zhai. (2020) Sampled-data state-estimation of delayed complex-valued neural networks. International Journal of Systems Science 51:2, pages 303-312.
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R. Sriraman & R. Samidurai. (2019) Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays. International Journal of Systems Science 50:9, pages 1742-1756.
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Articles from other publishers (2)

Yan Zhang, Yuanhua Qiao, Lijuan Duan, Jun Miao & Jiajia Zhang. (2021) Periodic dynamics of multidirectional associative neural networks with discontinuous activation functions and mixed time delays. International Journal of Robust and Nonlinear Control 31:10, pages 4570-4588.
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Zhengqiu Zhang & Jinde Cao. (2018) Periodic solutions for complex-valued neural networks of neutral type by combining graph theory with coincidence degree theory. Advances in Difference Equations 2018:1.
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