کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4947794 1439597 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
H∞ state estimation for memristive neural networks with multiple fading measurements
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
H∞ state estimation for memristive neural networks with multiple fading measurements
چکیده انگلیسی
The attention of this paper is mainly concentrated on the H∞ state estimator's design problem for a kind of discrete-time memristive neural networks (MNNs) with multiple fading measurements. The phenomenon of multiple fading measurements is represented by a set of individual stochastic variables obeying a predetermined distribution on interval [0,1]. Firstly, the augmented system comprised of MNNs and the dynamics of estimation errors are put forward to implement the performance analysis. Then, under the framework of the difference inclusion theory combined with the Lyapunov function method, several sufficient conditions are established to guarantee the exponential mean-square stability as well as H∞ performance index. Furthermore, the desired estimator parameter is obtained in view of the solution of a convex optimization problem. In the end, an illustrative numerical example is exploited to check the reliability and usefulness of the design scheme in this paper.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 230, 22 March 2017, Pages 23-29
نویسندگان
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