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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gopaluni, R.B. Patwardhan, R.S. Shah, S.L. |
| Copyright Year | 2002 |
| Description | Author affiliation: Dept. of Chem. & Mater. Eng., Alberta Univ., Edmonton, Alta., Canada (Gopaluni, R.B.) |
| Abstract | The bias and variance properties of identified models depend on various factors including the input spectrum. These properties of an estimated model have to be shaped in such a way that the resulting model is commensurate with the controller. This paper presents a few results on experiment design for Model Predictive Controllers. It is important to minimize multi step ahead predictions, as opposed to one step ahead prediction errors, if Model Predictive Controllers are used. An optimal weighting on the model error for multi step ahead prediction errors is derived. Using this weighting, optimal input spectra are derived for the open loop systems. |
| Sponsorship | American Autom. Control Council IFAC SICE |
| Starting Page | 2713 |
| Ending Page | 2718 |
| File Size | 444190 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780372980 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2002.1025197 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Predictive models Magnetic resonance imaging Open loop systems Optimal control Noise reduction Chemical engineering Shape control Maximum likelihood estimation Filtering algorithms Filters |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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