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

Authors
Journal
Neurocomputing
0925-2312
Publisher
Elsevier
Volume
129
Identifiers
DOI: 10.1016/j.neucom.2013.09.034
Keywords
  • Finite-Time Boundedness
  • Neural Networks
  • State Estimation
  • Time-Varying Delays
Disciplines
  • Computer Science

Abstract

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.

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