Finite-time stabilization of uncertain neural networks with distributed time-varying delays
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© 2016, The Natural Computing Applications Forum. 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.
author list (cited authors)
Yang, S., Li, C., & Huang, T.