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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xu Zhengguang Sun Changping |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Automation, University of Science and Technology Beijing, Beijing, China (Xu Zhengguang; Sun Changping) |
| Abstract | For a class of complex production processes, based on the actual running status data, a new modeling approach based on moving pattern is presented by constructing pattern moving space and defining moving variable-pattern class variable in it. The dynamics of a class of complex production processes is characterized by the movement of pattern class variable in pattern moving space. For characterizing pattern class variable quantitatively, in this paper, interval number is used as its metric form, and our previous proposed interval T-S fuzzy model (ITSFM) is adapted to model its movement in pattern moving space. Experimental results are then presented that indicate the validity and applicability of the proposed approach. |
| Starting Page | 2282 |
| Ending Page | 2287 |
| File Size | 269752 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007651 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Production Time series analysis Predictive models Adaptation models Aerospace electronics Aerodynamics Gold interval time series moving pattern pattern moving space pattern class variable interval arithmetic Takagi-Sugeno fuzzy model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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