Impulsive Effects and Stability Analysis on Memristive Neural Networks With Variable Delays. Academic Article uri icon


  • In this brief, hybrid impulsive and adaptive feedback controllers are simultaneously exerted on a general delayed memristive neural network (MNN) model to formulate a novel impulsive controlled MNN (IMNN) model with variable delays. By means of Lyapunov-Razumikhin technique and other analytical ways, several new stability criteria of the proposed IMNN model are obtained. In addition, by choosing appropriate impulses and external inputs, the convergence speed of IMNN can be increased, which implies that its dynamic behaviors will be optimized. Finally, the effectiveness of the obtained results is illustrated by one numerical example.

published proceedings

  • IEEE Trans Neural Netw Learn Syst

author list (cited authors)

  • Duan, S., Wang, H., Wang, L., Huang, T., & Li, C.

citation count

  • 50

complete list of authors

  • Duan, Shukai||Wang, Huamin||Wang, Lidan||Huang, Tingwen||Li, Chuandong

publication date

  • February 2017