This paper discusses shunting inhibitory cellular neural networks (SICNNs) with time-varying and distributed delays. It introduces the establishment of some new suffcient conditions for the existence and exponential stability of the almost periodic solutions without assuming the global Lipschitz conditions of activation functions. Finally, it presents a numerical example to demonstrate the effectiveness of the obtained result.
机构:
Jiangxi Normal Univ Nanchang, Coll Math & Informat Sci, Nanchang 330022, Jiangxi, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Ding, Hui-Sheng
Liang, Jin
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Jiao Tong Univ, Dept Math, Shanghai, Peoples R China
Univ Sci & Technol China, Dept Math, Hefei 230026, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Liang, Jin
Xiao, Ti-Jun
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Univ Sci & Technol China, Dept Math, Hefei 230026, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
机构:
Jiangxi Normal Univ Nanchang, Coll Math & Informat Sci, Nanchang 330022, Jiangxi, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Ding, Hui-Sheng
Liang, Jin
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Jiao Tong Univ, Dept Math, Shanghai, Peoples R China
Univ Sci & Technol China, Dept Math, Hefei 230026, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Liang, Jin
Xiao, Ti-Jun
论文数: 0引用数: 0
h-index: 0
机构:
Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
Univ Sci & Technol China, Dept Math, Hefei 230026, Peoples R ChinaFudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China