Design of state estimator for neural networks of neutral-type
نویسندگان
چکیده
In this paper, the design problem of state estimator for a class of neural networks of neutral-type is studied. A delaydependent 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. 2008 Elsevier Inc. All rights reserved.
منابع مشابه
Further results on state estimation for neural networks of neutral-type with time-varying delay
In this paper, further result on design problem of state estimator for a class of neural networks of neutral type is presented. A delay-dependent linear matrix inequality (LMI) criterion for existence of the estimator is derived. A numerical simulation is given to show the effectiveness of proposed estimator. 2008 Elsevier Inc. All rights reserved.
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ورودعنوان ژورنال:
- Applied Mathematics and Computation
دوره 202 شماره
صفحات -
تاریخ انتشار 2008