Exponential stability of bidirectional associative memory neural networks with delays and impulsive
被引:1
作者:
Zhang, Chaolong
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机构:
Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R ChinaZhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
Zhang, Chaolong
[1
]
Yang, Fengjian
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机构:
Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R ChinaZhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
Yang, Fengjian
[1
]
Li, Wei
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机构:
Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R ChinaZhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
Li, Wei
[1
]
Wu, Dongqing
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机构:
Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R ChinaZhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
Wu, Dongqing
[1
]
机构:
[1] Zhongkai Univ Agr & Technol, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
来源:
2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6
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2007年
关键词:
D O I:
10.1109/ICAL.2007.4338927
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper a model of impulsive BAMs neural networks is first formulated. We investigate impulsive effects on the stability of BAMs neural networks with delays and obtain some sufficient conditions ensuring exponential stability of the impulsive delay system. The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks.
机构:
Flinders Univ S Australia, Sch Informat & Engn, Adelaide, SA 5001, AustraliaFlinders Univ S Australia, Sch Informat & Engn, Adelaide, SA 5001, Australia
机构:
Flinders Univ S Australia, Sch Informat & Engn, Adelaide, SA 5001, AustraliaFlinders Univ S Australia, Sch Informat & Engn, Adelaide, SA 5001, Australia