Finite-time boundedness of state estimation for neural networks with time-varying delays

Authors:
Jun Cheng;Shouming Zhong;Qishui Zhong;Hong Zhu;Yuanhua Du
Affiliations:
-;-;-;-;-
Venue:
Neurocomputing
Year:
2014

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Abstract

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.