In this article, some sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks of the form [GRAPHICS] by means of Lyapunov method and some analysis techniques, in which v(i) = g(i). (lambda (i)u(i)). The criteria are easy to check and apply in practice.
机构:
SW Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R China
Xu, Xiaohui
Zhang, Jiye
论文数: 0引用数: 0
h-index: 0
机构:
SW Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R China
Zhang, Jiye
Zhang, Weihua
论文数: 0引用数: 0
h-index: 0
机构:
SW Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R China
机构:Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
Guo, SJ
Huang, LH
论文数: 0引用数: 0
h-index: 0
机构:
Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R ChinaHunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
Huang, LH
Wang, L
论文数: 0引用数: 0
h-index: 0
机构:Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China