An inequalities method for multivariable system's eigenstructure assignment via genetic multi-objective optimization

A formulation of an inequalities method for Eigenstructure Assignment (EA) in linear systems based upon the Linear Quadratic Regulator (LQR) problem is presented as multi-objective optimization problem. The weighting matrices that must satisfy the allocation are determined by a genetic algorithm imp...

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Bibliographic Details
Published in2003 American Control Conference; Denver, CO; USA; 4-6 June 2003 Vol. 2; pp. 1476 - 1481
Main Authors da Fonseca Neto, J.V., Bottura, C.P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Control systems
Eigenvalues and eigenfunctions
Equations
Genetics
MIMO
Optimization methods
Output feedback
Robust stability
State feedback
State-space methods
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Summary:A formulation of an inequalities method for Eigenstructure Assignment (EA) in linear systems based upon the Linear Quadratic Regulator (LQR) problem is presented as multi-objective optimization problem. The weighting matrices that must satisfy the allocation are determined by a genetic algorithm implemented in a high performance parallel framework. The proposed method is tested on an aircraft model and the Eigenstructure Assignment is analyzed through modal techniques, where the input-state and output-state coupling degrees, as well as every eigenvector contribution in the composition of each state.
Bibliography:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:9780780378964
0780378962
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.2003.1239799