n294031SE Academic Article uri icon

abstract

  • 2015, The Natural Computing Applications Forum. In this paper, we study global exponential stability problem for inertial BAM neural networks with time-varying delay via periodically intermittent control. By utilizing suitable variable substitution, the second-order system can be transformed into first-order differential equations. It is shown that the states of the inertial BAM neural networks with time-varying delay via periodically intermittent control can be globally exponential stabilized with a desired oribis under the designed intermittent controller. Finally, a typical example is chosen to illustrate the validation of the theoretical results.

published proceedings

  • Neural Computing and Applications

author list (cited authors)

  • Zhang, W., Li, C., Huang, T., & Tan, J.

publication date

  • January 1, 2015 11:11 AM