DocumentCode :
189011
Title :
Detection of no-model input/output combinations in MIMO systems subject to noise and unmeasured disturbances
Author :
Segundo Potts, Alain ; Cuenca Massaro, Leandro ; Garcia, Christophe
Author_Institution :
Univ. de Sao Paulo, Sao Paulo, Brazil
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
A method is proposed to detect if there is no coupling between an input and an output in open-loop systems. The proposed technique is applicable to MIMO systems, i.e., the intent is to detect models in a transfer matrix. Traditional approaches to input/output (IO) selection are usually performed after the plant model is identified. The proposed approach is applied during the pre-identification stage and it is based on cross correlation and fuzzy logic analysis. A study case involving identification of a 7×6 simulated system is discussed, as well as an analysis of the influence of detecting no-model IO pairs in the identification process.
Keywords :
MIMO systems; correlation methods; fuzzy control; identification; open loop systems; transfer function matrices; IO selection; MIMO systems; cross correlation; fuzzy logic analysis; no-model input-output combination detection; open-loop systems; plant model; pre-identification stage; transfer matrix; Correlation; Finite impulse response filters; Fuzzy logic; Indexes; MIMO; Mathematical model; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862308
Filename :
6862308
Link To Document :
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