A constrained optimization approach for robust pole placement

Author

de Paiva, E.C. ; Santos-Mendes, R. ; Ferreira, P.A.V.

Author_Institution

DCA-EEEC Unicamp, Campinas, Brazil

fYear

1997

fDate

1-7 July 1997

Firstpage

1683

Lastpage

1688

Abstract

This paper presents a methodology for designing controllers that place the roots of the characteristic polynomial of an uncertain system inside a set of circular regions around the nominal roots. A geometric framework is used for the derivation of an accurate search domain for the feasible controllers. Inside the given domain, a genetic algorithm efficiently searches for the most robust controller.

Keywords

closed loop systems; control system synthesis; genetic algorithms; geometry; pole assignment; polynomials; robust control; search problems; uncertain systems; circular region; closed loop pole position; constrained optimization approach; controller design; genetic algorithm; geometric framework; nominal roots; polynomial roots; robust controller; robust pole placement; search domain; uncertain system; Aerospace electronics; Genetic algorithms; Optimization; Polynomials; Robustness; Sociology; Statistics; Robust control; genetic algorithms; linear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1997 European

Conference_Location

Brussels

Print_ISBN

978-3-9524269-0-6

Type

conf

Filename

7082345

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=700715