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**Harvard**

Halvarsson, B., Wik, T. och Carlsson, B. (2011) *New Input-Output Pairing Strategies Based on Linear Quadratic Gaussian Control*. Uppsala University, Sweden : Technical Report 2011-032, Department of Information Technology

** BibTeX **

@techreport{

Halvarsson2011,

author={Halvarsson, Björn and Wik, Torsten and Carlsson, Bengt},

title={New Input-Output Pairing Strategies Based on Linear Quadratic Gaussian Control},

abstract={Two input-output pairing strategies based on linear quadratic Gaussian (LQG) control are suggested. In the first strategy, denoted linear quadratic interaction index (LQII), input-output pairing suggestions are found from a minimization of the output signal variance. This index not only guides to what pairing should be tried, it also gives a direct measure of how much better a full MIMO controller can perform. The second proposed interaction measure, denoted integrating linear quadratic index array (ILQIA), focuses more on the low frequency behaviour of the considered plant, such as load disturbances. The strategies are used to compare the expected performance of decentralized control structures in some illustrative examples. The pairing suggestions are compared with the recommendations previously obtained using other interaction measures such as the relative gain array (RGA), the Hankel interaction index array (HIIA) and the participation matrix (PM). The new strategies are easy to interpret and give suitable pairing recommendations where other methods may fail.},

publisher={Technical Report 2011-032, Department of Information Technology},

place={Uppsala University, Sweden},

year={2011},

keywords={input-output pairing, control},

note={27},

}

** RefWorks **

RT Report

SR Electronic

ID 150053

A1 Halvarsson, Björn

A1 Wik, Torsten

A1 Carlsson, Bengt

T1 New Input-Output Pairing Strategies Based on Linear Quadratic Gaussian Control

YR 2011

AB Two input-output pairing strategies based on linear quadratic Gaussian (LQG) control are suggested. In the first strategy, denoted linear quadratic interaction index (LQII), input-output pairing suggestions are found from a minimization of the output signal variance. This index not only guides to what pairing should be tried, it also gives a direct measure of how much better a full MIMO controller can perform. The second proposed interaction measure, denoted integrating linear quadratic index array (ILQIA), focuses more on the low frequency behaviour of the considered plant, such as load disturbances. The strategies are used to compare the expected performance of decentralized control structures in some illustrative examples. The pairing suggestions are compared with the recommendations previously obtained using other interaction measures such as the relative gain array (RGA), the Hankel interaction index array (HIIA) and the participation matrix (PM). The new strategies are easy to interpret and give suitable pairing recommendations where other methods may fail.

PB Technical Report 2011-032, Department of Information Technology

LA eng

LK http://www.it.uu.se/research/publications/reports/2011-032/

OL 30