Performance analysis of MPC based on structures subject to no-model input/output combinations

Author

Cuenca Massaro, Leandro ; Segundo Potts, Alain ; Garcia, Christophe

Author_Institution

Escola Politec., Univ. of Sao Paulo, Sao Paulo, Brazil

fYear

2013

fDate

23-26 June 2013

Firstpage

1

Lastpage

6

Abstract

An analysis of the benefits over MPC performance obtained through the use of a method to detect no-model IO (input/output) combinations for open and closed-loop in multiple input multiple output (MIMO) systems is performed. Traditional approaches to IO selection are usually performed after the plant model is already characterized, which can lead to model-plant mismatch. The approach herein presented is applied during the pre-identification stage, in order to provide previous information to the following stages. A study case involving identification of a 2 × 2 MIMO system is discussed.

Keywords

MIMO systems; closed loop systems; identification; open loop systems; predictive control; IO selection; MIMO systems; MPC; closed-loop systems; model predictive control; multiple input multiple output systems; no-model input-output combinations; open loop systems; performance analysis; plant model; pre-identification stage; Correlation; Indexes; MIMO; Mathematical model; Performance analysis; Predictive models; Process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ASCC), 2013 9th Asian

Conference_Location

Istanbul

Print_ISBN

978-1-4673-5767-8

Type

conf

DOI

10.1109/ASCC.2013.6606253

Filename

6606253