Finite-time boundedness of state estimation for neural networks with time-varying delays
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- 作者：Jun Cheng ; Shouming Zhong ; Qishui Zhong ; Hong Zhu ; Yuanhua Du
- 关键词：Finite-time boundedness ; Neural networks ; State estimation ; Time-varying delays
- 刊名：Neurocomputing
- 出版年：10 April, 2014
- 年：2014
- 卷：129
- 期：Complete
- 页码：257-264
- 全文大小：574 K
文摘
In this paper, we study the finite-time boundedness problem for neural networks with time-varying delays. By introducing a newly augmented Lyapunov-Krasovskii functional and considering the relationship between time-varying delays and their upper delay bounds, sufficient condition of state estimation for neural networks with time-varying delays is presented and proved by using convex polyhedron method and novel activation function conditions. Finally, a numerical example is given to illustrate the efficiency and less conservative character of the proposed method.