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Content Provider | IEEE Xplore Digital Library |
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Author | Zhou Hongying Su Xiaojie Song Yongduan Liu Xinxin |
Copyright Year | 2015 |
Description | Author affiliation: Coll. of Autom., Chongqing Univ., Chongqing, China (Zhou Hongying; Su Xiaojie; Song Yongduan; Liu Xinxin) |
Abstract | This paper investigates the model approximation problem for the T-S fuzzy system with time-varying delays. For a given high-order system, the purpose is to obtain the reduced-order model which approximates the original one well with a prescribed error performance. Based on the reciprocally convex technique, a new asymptotic stability condition is proposed for the corresponding error system with a given error performance. Then, the reduced-order model is obtained on the basis of the projection approach, which transforms the model approximation into a sequential minimization problem subject to linear matrix inequality constraints by employing the cone complementary linearization algorithm. |
Starting Page | 1963 |
Ending Page | 1966 |
File Size | 151217 |
Page Count | 4 |
File Format | |
ISBN | 9789881563897 |
ISSN | 19341768 |
DOI | 10.1109/ChiCC.2015.7259932 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-07-28 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Technical Committee on Control Theory, Chinese Association of Automation |
Subject Keyword | Time-Varying Delay Model Reduction Reduced order systems Stability analysis Delays Approximation methods Mathematical model Time-varying systems Fuzzy systems T-S Fuzzy System |
Content Type | Text |
Resource Type | Article |
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