Title :
Relative gain array analysis of uncertain multivariable plants
Author :
Khaki-Sedigh, A. ; Moaveni, B.
Author_Institution :
Control System, Department of Electrical and Electronics Engineering, K.N. Toosi University of Technology, Tehran Iran
Abstract :
The input-output pairing of multivariable plants with parametric uncertainty can vary in the face of large plant parameter variations. The Relative Gain Array (RGA) analysis is a powerful tool for the input-output pairing of linear multivariable plants. In the case of parametric uncertainties, RGA elements may vary accordingly. Hence, a test is proposed to identify the change in the input-output pairing in the presence of parametric uncertainties.
Keywords :
Arrays; Decentralized control; Face; Mathematical model; Process control; Uncertainty; Control system design; Decentralized control; Input-Output pairing; Parametric uncertainty; Relative Gain Array;
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9
