期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 22, 期 2, 页码 323-329出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2010.2100084
关键词
Discrete-time neural networks; impulse; stabilization; time delay
类别
资金
- National Science Foundation of China [60974020]
- CityU [7002456]
- Fundamental Research Funds for the Central Universities of China [CDJZR10 18 55 01]
This brief studies the global exponential stability of the equilibrium point of discrete-time delayed Hopfield neural networks (DHNNs) with impulse effects by using difference inequalities. We shall consider the stabilizing effects of impulses when the corresponding impulse-free DHNN is even not asymptotically stable. The obtained results characterize the aggregated effects of impulses and deviation of the impulse-free DHNN from its equilibrium point on the exponential stability of the whole system. It is shown that, because of effects of impulses, the impulsive discrete-time DHNN may be exponentially stable even if the evolution of impulse-free component deviates from its equilibrium point exponentially.
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