Name
Title | ||
|---|---|---|
Iterative Data-Driven ${\cal H}_{\infty}$ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation. |
Abstract | ||
|---|---|---|
This paper aims to develop a new data-driven H norm estimation algorithm for model-error modeling of multivariable systems. An iterative approach is presented that requires significantly a fewer prior assumptions on the true system, hence it provides stronger guarantees in a robust control design. The iterative estimation algorithm is embedded in a robust control design framework with a judiciously selected uncertainty structure to facilitate high control performance. The approach is experimentally implemented on an industrial active vibration isolation system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TCST.2014.2303047 | IEEE Trans. Contr. Sys. Techn. |
Keywords | DocType | Volume |
Uncertainty,Estimation,Vibrations,MIMO,Uncertain systems,System identification,Robust control | Journal | 22 |
Issue | ISSN | Citations |
6 | 1063-6536 | 2 |
PageRank | References | Authors |
0.43 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom Oomen | 1 | 61 | 9.63 |
| Rick van der Maas | 2 | 2 | 0.43 |
| Cristian R. Rojas | 3 | 252 | 43.97 |
| Håkan Hjalmarsson | 4 | 1254 | 175.16 |