Linear matrix inequality approach to passive filtering for delayed neural networks-Reference-Cited by-同舟云学术

Linear matrix inequality approach to passive filtering for delayed neural networks

Published:2010-12 Issue:8 Volume:224 Page:1040-1047
ISSN:0959-6518
Container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Author:

Ahn C K¹

Affiliation:

1. Department of Automotive Engineering, Seoul National University of Science & Technology, 172 Gongneung 2-dong, Nowon-gu, Seoul 139-743, Republic of Korea., ,

Abstract

The delay-dependent passive filtering problem is studied for delayed neural networks. A new delay-dependent passive filter is proposed such that the filtering error system is asymptotically stable and passive from the external disturbance to the output error. The desired filter matrix gain is characterized in terms of the solution to a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09596518JSCE1056

Reference18 articles.

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