Stability analysis of impulsive stochastic Cohen–Grossberg neural networks driven by G-Brownian motion
Author:
Affiliation:
1. Department of Mathematics, Anhui Normal University , Wuhu, China
2. School of Science, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2017.1328745
Reference40 articles.
1. Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling
2. Boundedness and stability for Cohen–Grossberg neural network with time-varying delays
3. Delay-independent stability analysis of Cohen–Grossberg neural networks
4. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
5. Function Spaces and Capacity Related to a Sublinear Expectation: Application to G-Brownian Motion Paths
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2. Delay feedback stabilisation of stochastic differential equations driven by G-Brownian motion;International Journal of Control;2021-04-26
3. Stability analysis of Hopfield neural networks with unbounded delay driven by G-Brownian motion;International Journal of Control;2020-06-08
4. Quasi sure exponential stabilisation of impulsive stochastic complex networks under a sublinear expectation framework;International Journal of Control;2020-01-13
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