eprintid: 2452
rev_number: 8
eprint_status: archive
userid: 6
dir: disk0/00/00/24/52
datestamp: 2015-01-09 13:32:04
lastmod: 2015-01-09 13:32:04
status_changed: 2015-01-09 13:32:04
type: book_section
metadata_visibility: show
creators_name: Cerone, Vito
creators_name: Piga, Dario
creators_name: Regruto, Diego
creators_name: Tóth, Roland
creators_id: 
creators_id: dario.piga@imtlucca.it
creators_id: 
creators_id: 
title: Fixed order LPV controller design for LPV models in input-output form
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: public
keywords: Approximation methods; Closed loop systems; Linear matrix inequalities; Optimization; Polynomials; Stability analysis
    Vectors
note: 51st IEEE Conference on Decision and Control, held in Maui, Hawaii (USA); December 10-13 2012
abstract: In this work, a new synthesis approach is proposed to design fixed-order H∞ controllers for linear parameter-varying (LPV) systems described by input-output (I/O) models with polynomial dependence on the scheduling variables. First, by exploiting a suitable technique for polytopic outer approximation of semi-algebraic sets, the closed loop system is equivalently rewritten as an LPV I/O model depending affinely on an augmented scheduling parameter vector constrained inside a polytope. Then, the problem is reformulated in terms of bilinear matrix inequalities (BMI) and solved by means of a suitable semidefinite relaxation technique.
date: 2012-12
date_type: published
publisher: IEEE
pagerange: 6297-6302
event_title: Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
id_number: 10.1109/CDC.2012.6426281
refereed: TRUE
isbn: 978-1-4673-2064-1
book_title: Proceedings of  the 51st Annual Conference on Decision and Control (CDC)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6426281&isnumber=6425800
citation:   Cerone, Vito and Piga, Dario and Regruto, Diego and Tóth, Roland  Fixed order LPV controller design for LPV models in input-output form.   In:  Proceedings of the 51st Annual Conference on Decision and Control (CDC).   IEEE, pp. 6297-6302.  ISBN 978-1-4673-2064-1      (2012)  
document_url: http://eprints.imtlucca.it/2452/1/CDC2013PreprintPiga.pdf