Finite-Time Stabilization of Competitive Neural Networks With Time-Varying Delays. Academic Article uri icon


  • This article investigates finite-time stabilization of competitive neural networks with discrete time-varying delays (DCNNs). By virtue of comparison strategies and inequality techniques, finite-time stabilization of the underlying DCNNs is analyzed by designing a discontinuous state feedback controller, which simplifies the controller design and proof processes of some existing results. Meanwhile, global exponential stabilization of the DCNNs is provided under a continuous state feedback controller. In addition, global exponential stability of the DCNNs is shown as an M-matrix, which contains some published outcomes as special cases. Finally, three examples are given to illuminate the validity of the theories.

published proceedings

  • IEEE Trans Cybern

altmetric score

  • 0.25

author list (cited authors)

  • Sheng, Y., Zeng, Z., & Huang, T.

citation count

  • 6

complete list of authors

  • Sheng, Yin||Zeng, Zhigang||Huang, Tingwen

publication date

  • November 2022