4.6 Article

Finite-time stabilization of uncertain neural networks with distributed time-varying delays

Journal

NEURAL COMPUTING & APPLICATIONS
Volume 28, Issue -, Pages S1155-S1163

Publisher

SPRINGER
DOI: 10.1007/s00521-016-2421-6

Keywords

Uncertain neural networks (UNNs); Finite-time stabilization; Distributed time-varying delays; Settling time

Funding

  1. Natural Science Foundation of China [61374078]
  2. Chongqing Research Program of Basic Research and Frontier Technology [cstc2015j-cyjBX0052]
  3. NPRP Grant from Qatar National Research Fund (Qatar Foundation) [NPRP 4-1162-1-181]

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In this paper, the problem of finite-time stabilization for a class of uncertain neural networks with distributed time-varying delays is investigated. Based on the Lyapunov stability theory and integral inequality technique, some sufficient LMI conditions are derived to ensure the finite-time stability of considered neural networks. In addition, the upper bound of the settling time for stabilization is estimated. Numerical simulations are carried out to demonstrate the effectiveness of the obtained results.

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