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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Oomen, T. Bosgra, O. van de Wal, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: Philips Applied Technologies, Mechatronics Department, Eindhoven, The Netherlands (van de Wal, M.) || Eindhoven University of Technology, The Netherlands (Oomen, T.; Bosgra, O.) |
| Abstract | High measured performance does not imply that the true system performance is satisfactory. Indeed, in many systems, these performance variables cannot be measured directly and have to be inferred from the measured variables by using model knowledge. The aim of the present paper is to develop an identification and control design approach that can deal with this situation. Hereto, identification techniques for inferential control, uncertainty structures for robust inferential control, and appropriate control design structures are presented. As a result, a novel coordinate frame is obtained that transparently connects nominal model identification, quantification of model uncertainty, and robust inferential control, thereby enabling high performance robust inferential control. |
| Starting Page | 2581 |
| Ending Page | 2586 |
| File Size | 412670 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424438716 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2009.5400908 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robust control Control design Uncertainty Mathematical model Electric variables control System identification Predictive models Control systems System performance Quality control |
| Content Type | Text |
| Resource Type | Article |
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