Relative Gain Array Estimation Based on Non-parametric Process Identification for Uncertain Systems
2015 (English)Conference paper, Poster (Other academic)
Since the introduction of the Relative Gain Array (RGA) by Bristol in 1966, it has become awidely used practical tool for solving the input-output pairing problems in decentralized control. In order to remove the dependency of this tool on a parametric description and accurate knowledge of a nominal model, this work proposes a method to estimate the RGA directly from a non-parametric frequency response matrix (FRM) derived from a frequency domain system identification approach. The proposed method reduces the influence of model uncertainties on the calculation of the RGA and derives the RGA at frequencies of interest. The results are exemplified using a 2x3 LTI systems and a 2x2 uncertain system.
Place, publisher, year, edition, pages
Research subject Control Engineering
IdentifiersURN: urn:nbn:se:ltu:diva-40606Local ID: fcb517f0-f745-4ec9-818a-51dc6c824646OAI: oai:DiVA.org:ltu-40606DiVA: diva2:1014128
Nordic Process Control Workshop : 16/01/2015 - 17/01/2015
Godkänd; 2015; 20150726 (alikad)2016-10-032016-10-03Bibliographically approved