A new inequality of L-operator and its application to stochastic non-autonomous impulsive neural networks with delays

作者：Luo, Tianqi; Long, Shujun^*

来源：Advances in Difference Equations, 2016, 2016(1): 9.

DOI：10.1186/s13662-015-0697-y

• exponential stability
• inequality
• non-autonomous
• stochastic
• delays
• neural networks
• impulses

In this paper, based on the properties of L-operator and M-matrix, we develop a new inequality of L-operator to be effective for non-autonomous stochastic systems. From the new inequality obtained above, we derive the sufficient conditions ensuring the global exponential stability of the stochastic non-autonomous impulsive cellular neural networks with delays. Our conclusions generalize some works published before. One example is provided to illustrate the superiority of the proposed results.

• 出版日期2016-1-13
• 单位乐山师范学院