期刊
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
卷 38, 期 6, 页码 1549-1560出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2008.928233
关键词
Hopfield neural networks (HNNs); impulse; stability; switching; time delay
类别
资金
- City University of Hong Kong
- Hong Kong Research Grants Council [CityU 113205]
- National Science Foundation of China [60574024, NCET-06-0764]
This paper formulates and studies a model of hybrid impulsive and switching Hopfield neural networks (NNs). Using switching Lyapunov functions and a generalized Halanay inequality, some general criteria, which characterize the impulse and switching effects in aggregated form, for asymptotic and exponential stability of such NNs with arbitrary and conditioned impulsive switching are established. Several numerical examples are given for illustration and interpretation of the theoretical results.
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