Title | ||
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Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling. |
Abstract | ||
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In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transformed into first-order differential equations. Next, a novel coupling scheme with linear diffusive term and discontinuous sign function term depending on the first order derivative of state variables is introduced. Based on this coupling scheme, several sufficient conditions for global exponential synchronization of multiple inertial memristive neural networks are derived by using Lyapunov stability theory and some inequality techniques. Finally, several numerical examples are presented to substantiate the effectiveness of the theoretical results. |
Year | DOI | Venue |
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2018 | 10.1016/j.neunet.2018.08.020 | Neural Networks |
Keywords | Field | DocType |
Inertial memristive neural network,Global exponential synchronization,Nonlinear coupling,Time-varying delay | Inertial frame of reference,Differential equation,Topology,Mathematical optimization,Coupling,Lyapunov stability,Exponential synchronization,Sign function,State variable,Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
108 | 1 | 0893-6080 |
Citations | PageRank | References |
4 | 0.38 | 19 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhenyuan Guo | 1 | 89 | 8.75 |
Shuqing Gong | 2 | 52 | 3.26 |
Shaofu Yang | 3 | 303 | 12.01 |
Tingwen Huang | 4 | 5684 | 310.24 |