Design of state estimator for neural networks of neutral-type

摘要

In this paper, the design problem of state estimator for a class of neural networks of neutral-type is studied. A delay-dependent linear matrix inequality (LMI) criterion for existence of the estimator is proposed by using the Lyapunov method. The criterion can be easily solved by various convex optimization algorithms. A numerical example with simulation results is given to show the effectiveness of proposed method.