Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11371125]; Natural Science Foundation of Hunan Province of ChinaNatural Science Foundation of Hunan Province [2016JJ4016]; Educational Department of Hunan Province of China [15C0243]; guiding program of Yiyang science and technology bureau [2015JZ27]
机构署名:
本校为第一且通讯机构
院系归属:
理学院
摘要:
This paper investigates the synchronization problem for a class of delayed neural networks with Markovian switching parameters by using adaptive control scheme. A new delayed neural networks model with Markovian switching parameters and adaptive coupling strengths is established. By utilizing adaptive scheme, M-matrix approach and Lyapunov theory, sufficient criteria for a class of delayed neural networks with Markovian switching parameters and adaptive coupling strengths are proposed. A numerical example i...