By using the method of coincidence degree theory and constructing suitable Lyapunov functional, several sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for Cohen-Grossberg shunting inhibitory neural networks with delays. An example is given to illustrate our feasible results.
机构:
Institute of System Science and Math., Naval Aeronautical Engineering InstituteInstitute of System Science and Math., Naval Aeronautical Engineering Institute
Mingjiu Gai
Qiang Zhang
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Institute of System Science and Math., Naval Aeronautical Engineering InstituteInstitute of System Science and Math., Naval Aeronautical Engineering Institute
Qiang Zhang
Bao Shi
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Institute of System Science and Math., Naval Aeronautical Engineering InstituteInstitute of System Science and Math., Naval Aeronautical Engineering Institute
机构:
Shanghai Univ, Dept Math, Shanghai 200444, Peoples R China
Changzhou Univ, Sch Math & Phys, Changzhou 213016, Jiangsu, Peoples R ChinaShanghai Univ, Dept Math, Shanghai 200444, Peoples R China
Kang, Huiyan
Fu, Xinchu
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Shanghai Univ, Dept Math, Shanghai 200444, Peoples R ChinaShanghai Univ, Dept Math, Shanghai 200444, Peoples R China
Fu, Xinchu
Sum, Zhenlong
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Shanghai Univ, Dept Math, Shanghai 200444, Peoples R ChinaShanghai Univ, Dept Math, Shanghai 200444, Peoples R China