期刊
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
卷 32, 期 1, 页码 358-372出版社
WILEY
DOI: 10.1002/rnc.5817
关键词
exponential synchronization; inertial neural networks; periodic intermittent control; pinning control
资金
- National Natural Science Foundation of China [51407012, 61601059]
- Natural Science Foundation of Shaanxi Province [2020JM-256]
- Technology Innovation Leading Program of Shaanxi [2020QFY03-01]
- Natural Science Basis Research Plan in Shaanxi Province of China [2020GY-060]
- Xi'an Science and Technology Plan Project [2020KJRC0126]
This article proposes a novel hybrid control scheme for achieving exponential synchronization of inertial neural networks with mixed delays, and verifies the effectiveness of the method through numerical simulations.
This article considers the problem of exponential synchronization of inertial neural networks (INNs) with mixed delays via a novel hybrid control scheme consisting of pinning and periodic intermittent control. Both the discrete delay and distributed delay are taken into account in the network model. Through the proper variable substitution, the original system is transferred into a simply formed differential equation. Meantime, some new sufficient conditions are derived by the Lyapunov stability theory for the exponential synchronization of INNs. Eventually, numerical simulations are given to present the effectiveness of the theoretical method.
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