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Improved Generalized H2 Filtering for Static Neural Networks with Time-Varying Delay via Free-Matrix-Based Integral Inequality
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper focuses on the generalized H2 filtering of static neural networks with a time-varying delay.
The aim of this problem is to design a full-order filter such that the filtering error system is globally asymptotically stable with guaranteed H2 performance index.
By constructing an augmented Lyapunov-Krasovskii functional and applying the free-matrix-based integral inequality to estimate its derivative, an improved delay-dependent condition for the generalized H2 filtering problem is established in terms of LMIs.
Finally, a numerical example is presented to show the effectiveness of the proposed method.
American Psychological Association (APA)
Yu, Hui-Jun& He, Yong& Wu, Min. 2018. Improved Generalized H2 Filtering for Static Neural Networks with Time-Varying Delay via Free-Matrix-Based Integral Inequality. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1207831
Modern Language Association (MLA)
Yu, Hui-Jun…[et al.]. Improved Generalized H2 Filtering for Static Neural Networks with Time-Varying Delay via Free-Matrix-Based Integral Inequality. Mathematical Problems in Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1207831
American Medical Association (AMA)
Yu, Hui-Jun& He, Yong& Wu, Min. Improved Generalized H2 Filtering for Static Neural Networks with Time-Varying Delay via Free-Matrix-Based Integral Inequality. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1207831
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207831