Stochastic Global Exponential Stability of Neutral-Type Impulsive Neural Networks with both Markovian Jumping and Mixed Time Delays

摘要：

The problem of stochastic global exponential stability for neural networks of neutral-type impulsive with both Markovian Jumping and mixed time delays is studied in this paper. By using stochastic analysis approach and Lyapunov-Krasovskii method, a sufficient condition under which the neural networks of neutral-type impulsive with both time delays and Markovian Jumping is obtained. To illustrate the effectiveness of the result proposed in this paper, a numerical example is given.

关键词： Neutral-Type Neural Networks Impulsive Markovian Jumping Exponential Stability Mixed Time Delays

作者: GAO Yan ZHOU Wuneng ZHAO Jing TONG Dongbing JI Chuan

作者单位: College of Information Sciences and Technology, Donghua University, Shanghai 201620, P. R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 3244-3249

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）