DocumentCode
574851
Title
Robust pole placement for plants with semialgebraic parametric uncertainty
Author
Cerone, Vito ; Piga, Dario ; Regruto, Diego
Author_Institution
Dipt. di Autom. e Inf., Politec. di Torino, Torino, Italy
fYear
2012
fDate
27-29 June 2012
Firstpage
5240
Lastpage
5245
Abstract
In this paper we address the problem of robust pole placement for linear-time-invariant systems whose uncertain parameters are assumed to belong to a semialgebraic region. A dynamic controller is designed in order to constrain the coefficients of the closed-loop characteristic polynomial within prescribed intervals. Two main topics arising from the problem of robust pole placement are tackled by means of polynomial optimization. First, necessary conditions on the plant parameters for the existence of a robust controller are given. Then, the set of all admissible robust controllers is sought. Convex relaxation techniques based on sum-of-square decomposition of positive polynomials are used to efficiently solve the formulated optimization problems through semidefinite programming techniques.
Keywords
closed loop systems; control system synthesis; linear systems; optimisation; pole assignment; polynomials; robust control; uncertain systems; closed-loop characteristic polynomial; convex relaxation techniques; dynamic controller; formulated optimization problems; linear-time-invariant systems; necessary conditions; plants; polynomial optimization; robust pole placement; semialgebraic parametric uncertainty; semidefinite programming techniques; sum-of-square decomposition; Mathematical model; Optimization; Polynomials; Robustness; Transfer functions; Uncertainty; Robust coprimeness; Robust pole placement; Semialgebraic uncertainty; Sum-of-square decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6315548
Filename
6315548
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