H infinity state estimation for neutral-type neural networks with continuously distributed delays

Guoquan Liu; Chaomin Luo; Xianxi Luo; Wenbing Zhao

doi:10.1109/WCICA.2016.7578805

H infinity state estimation for neutral-type neural networks with continuously distributed delays

Guoquan Liu
, Chaomin Luo
, Xianxi Luo
, Wenbing Zhao

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper presents a model of neutral-type neural networks with continuously distributed delays. An H infinity state estimation problem is also proposed and formulated as a state estimator design problem. To solve the problem, the linear matrix inequality (LMI) method is considered in this paper. By constructing a Lyapunov-Krasovskii function (LKF), a sufficient condition for the existence of state estimator can be obtained. The desired estimator matrix gain can be characterized in terms of the solution to an LMI. One example is given to demonstrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2098-2102
Number of pages	5
Volume	2016-September
ISBN (Electronic)	9781467384148
DOIs	https://doi.org/10.1109/WCICA.2016.7578805
State	Published - Sep 27 2016
Event	12th World Congress on Intelligent Control and Automation, WCICA 2016 - Guilin, China Duration: Jun 12 2016 → Jun 15 2016

Conference

Conference	12th World Congress on Intelligent Control and Automation, WCICA 2016
Country/Territory	China
City	Guilin
Period	06/12/16 → 06/15/16

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10.1109/WCICA.2016.7578805

Cite this

Liu, G., Luo, C., Luo, X., & Zhao, W. (2016). H infinity state estimation for neutral-type neural networks with continuously distributed delays. In Proceedings of the World Congress on Intelligent Control and Automation (WCICA) (Vol. 2016-September, pp. 2098-2102). Article 7578805 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2016.7578805

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title = "H infinity state estimation for neutral-type neural networks with continuously distributed delays",

abstract = "This paper presents a model of neutral-type neural networks with continuously distributed delays. An H infinity state estimation problem is also proposed and formulated as a state estimator design problem. To solve the problem, the linear matrix inequality (LMI) method is considered in this paper. By constructing a Lyapunov-Krasovskii function (LKF), a sufficient condition for the existence of state estimator can be obtained. The desired estimator matrix gain can be characterized in terms of the solution to an LMI. One example is given to demonstrate the effectiveness of the proposed approach.",

author = "Guoquan Liu and Chaomin Luo and Xianxi Luo and Wenbing Zhao",

year = "2016",

month = sep,

day = "27",

doi = "10.1109/WCICA.2016.7578805",

language = "English",

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booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

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Liu, G, Luo, C, Luo, X & Zhao, W 2016, H infinity state estimation for neutral-type neural networks with continuously distributed delays. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA). vol. 2016-September, 7578805, Institute of Electrical and Electronics Engineers Inc., usa, pp. 2098-2102, 12th World Congress on Intelligent Control and Automation, WCICA 2016, Guilin, China, 06/12/16. https://doi.org/10.1109/WCICA.2016.7578805

H infinity state estimation for neutral-type neural networks with continuously distributed delays. / Liu, Guoquan; Luo, Chaomin; Luo, Xianxi et al.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). Vol. 2016-September usa: Institute of Electrical and Electronics Engineers Inc., 2016. p. 2098-2102 7578805.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhao, Wenbing

PY - 2016/9/27

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N2 - This paper presents a model of neutral-type neural networks with continuously distributed delays. An H infinity state estimation problem is also proposed and formulated as a state estimator design problem. To solve the problem, the linear matrix inequality (LMI) method is considered in this paper. By constructing a Lyapunov-Krasovskii function (LKF), a sufficient condition for the existence of state estimator can be obtained. The desired estimator matrix gain can be characterized in terms of the solution to an LMI. One example is given to demonstrate the effectiveness of the proposed approach.

AB - This paper presents a model of neutral-type neural networks with continuously distributed delays. An H infinity state estimation problem is also proposed and formulated as a state estimator design problem. To solve the problem, the linear matrix inequality (LMI) method is considered in this paper. By constructing a Lyapunov-Krasovskii function (LKF), a sufficient condition for the existence of state estimator can be obtained. The desired estimator matrix gain can be characterized in terms of the solution to an LMI. One example is given to demonstrate the effectiveness of the proposed approach.

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PB - Institute of Electrical and Electronics Engineers Inc.

CY - usa

T2 - 12th World Congress on Intelligent Control and Automation, WCICA 2016

Y2 - 12 June 2016 through 15 June 2016

ER -

H infinity state estimation for neutral-type neural networks with continuously distributed delays

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