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Content Provider | IEEE Xplore Digital Library |
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Author | Huang He Chen Xiaoping |
Copyright Year | 2011 |
Description | Author affiliation: School of Electronics and Information Engineering, Soochow University, Suzhou 215006, China (Huang He; Chen Xiaoping) |
Abstract | This paper studies the generalized H2 filter design problem of recurrent neural networks with time-varying delay. A delay-dependent condition is derived to ensure the existence of a desired filter for the delayed neural networks. It is shown that the design of such a filter and the optimal performance index can be accomplished by solving two coupled linear matrix inequalities. A numerical example is provided to demonstrate that the developed result can be efficiently applied to delayed neural networks with chaotic dynamic behaviors. |
Starting Page | 2641 |
Ending Page | 2646 |
File Size | 198836 |
Page Count | 6 |
File Format | |
ISBN | 9781457706776 |
ISSN | 21612927 |
e-ISBN | 9789881725592 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-07-22 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Chinese Assoc of Automati |
Subject Keyword | Chaos Algorithm design and analysis Symmetric matrices Recurrent neural networks Noise Convex optimization Time-varying delay Filter design Biological neural networks Delay |
Content Type | Text |
Resource Type | Article |
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