Stability Criteria for Neural Networks with Two Additive Time-varying Delay Components

Main Authors: Qingqing Wang, Shouming Zhong
Format: Article
Bahasa: eng
Terbitan: , 2013
Online Access: https://zenodo.org/record/2664821
Daftar Isi:
  • This paper is concerned with the stability problem with two additive time-varying delay components. By choosing one augmented Lyapunov-Krasovskii functional, using some new zero equalities, and combining linear matrix inequalities (LMI) techniques, two new sufficient criteria ensuring the global stability asymptotic stability of DNNs is obtained. These stability criteria are present in terms of linear matrix inequalities and can be easily checked. Finally, some examples are showed to demonstrate the effectiveness and less conservatism of the proposed method.