Name
Abstract | ||
|---|---|---|
The performance of robust controllers hinges on the underlying model set. The aim of the present paper is to develop a system identification procedure that enables the design of a controller that achieves optimal robust performance. Hereto, the complex interrelation between system identification and robust control is thoroughly analyzed and novel connections are established between (i) control-relevant and coprime factor identification and (ii) model uncertainty size and the control criterion. The key technical results include new robust-control-relevant and (W"u,W"y)-normalized coprime factorizations. The results enable the identification of multivariable model sets that achieve high robust performance in a subsequent robust control synthesis. Superiority of the proposed results compared to existing approaches is shown by means of an example. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.automatica.2012.06.011 | Automatica |
Keywords | Field | DocType |
Closed-loop identification,Coprime factorization,Uncertain dynamic systems,Robust control,System identification | Control theory,Coprime factorization,Multivariable calculus,Control theory,Control engineering,System identification,Robust control,Hinge,Coprime integers,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 9 | 0005-1098 |
Citations | PageRank | References |
10 | 0.71 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom Oomen | 1 | 61 | 9.63 |
| Okko H. Bosgra | 2 | 109 | 16.28 |