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Applicable Analysis
An International Journal
Volume 96, 2017 - Issue 12
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Articles

Periodic solutions for neutral coupled oscillators network with feedback and time-varying delay

Shang GaoDepartment of Mathematics, Harbin Institute of Technology, Harbin, P.R. China.View further author information
,
Hui ZhouDepartment of Mathematics, Harbin Institute of Technology (Weihai), Weihai, P.R. China.View further author information
&
Boying WuDepartment of Mathematics, Harbin Institute of Technology, Harbin, P.R. China.Correspondence[email protected]
View further author information
Pages 1983-2001 | Received 06 Jan 2016, Accepted 07 Jun 2016, Published online: 24 Jun 2016

Citations (7)

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Read on this site (2)

Chunmei Zhang, Yuli Feng & Huiling Chen. (2023) The existence and global stability of periodic solutions to coupled oscillators. Applicable Analysis 102:1, pages 38-51.
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Yao Xu, Yongbao Wu & Wenxue Li. (2019) Finite-time lag synchronization of coupled reaction–diffusion systems with time-varying delay via periodically intermittent control. Applicable Analysis 98:9, pages 1660-1676.
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Articles from other publishers (5)

Xiaoqi Liu & Shang Gao. (2022) Stochastic Stability Analysis for Stochastic Coupled Oscillator Networks with Bidirectional Cross-Dispersal. Computational Intelligence and Neuroscience 2022, pages 1-6.
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Wenjie Hu, Xing Qiao & Tao Dong. (2020) Spatiotemporal dynamic of a coupled neutral-type neural network with time delay and diffusion. Neural Computing and Applications 33:12, pages 6415-6426.
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Shang Gao, Haihua Guo & Tianrui Chen. (2019) The existence of periodic solutions for discrete-time coupled systems on networks with time-varying delay. Physica A: Statistical Mechanics and its Applications 526, pages 120876.
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Shang Gao, Rong Shen & Tianrui Chen. (2019) Periodic solutions for discrete-time Cohen–Grossberg neural networks with delays. Physics Letters A 383:5, pages 414-420.
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Pengfei Wang, Guangshuai Wang & Huan Su. (2018) The existence and exponential stability of periodic solution for coupled systems on networks without strong connectedness. Neurocomputing 313, pages 206-219.
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