New results for exponential stability of complex-valued memristive neural networks with variable delays

作者：Liu, Dan; Zhu, Song^*; Sun, Kaili

来源：Neurocomputing, 2018, 275: 758-767.

DOI：10.1016/j.neucom.2017.08.066

• Complex-valued memristive neural networks
• Exponential stability
• Variable delays
• Lyapunov function
• M-matrix

This paper studies the dynamic behaviors of complex-valued memristive neural networks with variable delays. By using M-matrix, redinequality technique and Lyapunov function, sufficient conditions are proposed to guarantee the existence, uniqueness and global exponential stability for the equilibrium point of complex-valued memristive neural networks with variable delays. The proposed results are easy to be checked and are helpful in qualitative analysis for some complex-valued nonlinear delayed systems. Two numerical examples are given to demonstrate the effectiveness of theoretical results.

• 出版日期2018-1-31
• 单位中国矿业大学（北京）