Passivity analysis of memristor-based recurrent neural networks with time-varying delays Academic Article uri icon

abstract

  • This paper investigates the delay-dependent exponential passivity problem of the memristor-based recurrent neural networks (RNNs). Based on the knowledge of memristor and recurrent neural network, the model of the memristor-based RNNs is established. Taking into account of the information of the neuron activation functions and the involved time-varying delays, several improved results with less computational burden and conservatism have been obtained in the sense of Filippov solutions. A numerical example is presented to show the effectiveness of the obtained results. © 2013 The Franklin Institute.

author list (cited authors)

  • Wen, S., Zeng, Z., Huang, T., & Chen, Y.

citation count

  • 78

publication date

  • October 2013