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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Elayan, E. Giri, F. Pigeon, E. Massieu, J.-F. |
| Copyright Year | 2006 |
| Description | Author affiliation: GREYC, Univ. de Caen (Elayan, E.; Giri, F.; Pigeon, E.; Massieu, J.-F.) |
| Abstract | This paper deals with the multi-model description of the ozone generation process in the Basse-Normandie region. The nonlinearity and periodicity have been taken into consideration. The nonlinear feature is accounted for resorting to the Takagi-Sugeno approach. This structure involves a set of local linear models (each one is valid for a certain range of operating conditions) and an interpolative mechanism that combines the outputs of the local models into a continuous global output. The periodicity feature consists in using the variable time to design three membership functions, where the day is devised into three equal intervals to construct three periodical models (each one represents an interval of the day). The parameters of the global periodical model are estimated using the parametric identification approach and membership functions of the variable time to interpolate the three output of the periodical models to get the global output. The model thus obtained turned out to be satisfactory and currently used to build-up a predictor for this region |
| Starting Page | 2939 |
| Ending Page | 2944 |
| File Size | 255689 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780397975 |
| DOI | 10.1109/CACSD-CCA-ISIC.2006.4777105 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-04 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Atmospheric modeling Input variables Takagi-Sugeno fuzzy modeling Predictive models Atmospheric pollution periodical systems Ozone modeling Atmospheric measurements Nonlinear system identification Environmental data Takagi-Sugeno model Pollution measurement Mathematical model Nonlinear systems Fuzzy systems Meteorology |
| Content Type | Text |
| Resource Type | Article |
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