| Publication Type |
Journal Article |
| Title |
Determination of state-space model uncertainty using bootstrap techniques |
| Authors |
Vitor V. Lopes Carla I C Pinheiro Jose Cardoso de Menezes |
| Groups |
CATHPRO |
| Journal |
JOURNAL OF PROCESS CONTROL |
| Year |
2006 |
| Month |
August |
| Volume |
16 |
| Number |
7 |
| Pages |
685-692 |
| Abstract |
Robust control theory is widely used as the theoretical basis for the design of controllers with reduced sensibility to model errors. The model parameters variance-covariance (VC) matrix allows to design controllers with a consistent control action, even in the presence of moderate model mismatch. This paper presents a technique to extract the state-space model variance-covariance matrix using bootstrap techniques. The VC matrix is estimated from bootstrapped models using a first-order approximation of the model parameters space. The technique is applied by estimating the nominal model uncertainty of a deisopentanizer petrochemical unit. The model uncertainty is determined more accurately by the proposed method, when compared to the use of minimal canonical parameterization, providing better first-order approximation confidence intervals. (C) 2006 Elsevier Ltd. All rights reserved. |
| DOI |
http://dx.doi.org/10.1016/j.jprocont.2006.01.007 |
| ISBN |
|
| Publisher |
|
| Book Title |
|
| ISSN |
0959-1524 |
| EISSN |
|
| Conference Name |
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| Bibtex ID |
ISI:000238557900003 |
| Observations |
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