DocumentCode :
103758
Title :
Iterative Data-Driven 
Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation
Author :
Oomen, Tom ; van der Maas, Rick ; Rojas, Cristian R. ; Hjalmarsson, Hakan
Author_Institution :
Dept. of Mech. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
Volume :
22
Issue :
6
fYear :
2014
fDate :
Nov. 2014
Firstpage :
2247
Lastpage :
2260
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.
Keywords :
control system synthesis; iterative methods; multivariable control systems; robust control; uncertain systems; vibration isolation; industrial active vibration isolation system; iterative data-driven H∞ norm estimation; iterative estimation algorithm; model-error modeling; multivariable systems; robust active vibration isolation; robust control design; uncertainty structure; Estimation; MIMO; Robust control; System identification; Uncertain systems; Uncertainty; Vibrations; Active vibration isolation system; data-driven control; data-driven modeling; model-free control; multivariable control; robust control; system identification for control; uncertain systems; uncertainty estimation; uncertainty estimation.;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2014.2303047
Filename :
6740808
Link To Document :
