eprintid: 585
rev_number: 11
eprint_status: archive
userid: 7
dir: disk0/00/00/05/85
datestamp: 2011-07-27 09:09:10
lastmod: 2014-07-17 12:47:36
status_changed: 2011-07-27 09:09:10
type: book_section
metadata_visibility: show
item_issues_count: 0
creators_name: Bemporad, Alberto
creators_name: Roll, Jacob
creators_name: Ljung, Lennart
creators_id: alberto.bemporad@imtlucca.it
creators_id: 
creators_id: 
title: Identification of hybrid systems via mixed-integer programming
ispublished: pub
subjects: QA
subjects: QA75
subjects: TJ
divisions: CSA
full_text_status: none
keywords: Wiener piecewise affine autoregressive exogenous models; global optimum; hinging hyperplanes autoregressive exogenous models; hybrid dynamical systems; identification; mixed-integer programming; quadratic programming; autoregressive processes; continuous time systems; discrete systems; identification; integer programming; quadratic programming
abstract: Addresses the problem of identification of hybrid dynamical systems, by focusing the attention on hinging hyperplanes and Wiener piecewise affine autoregressive exogenous models. In particular, we provide algorithms based on mixed-integer linear or quadratic programming which are guaranteed to converge to a global optimum
date: 2001
date_type: published
publication: Proc. 40th IEEE Conf. on Decision and Control
volume: 1
publisher: IEEE
place_of_pub: Orlando, Florida USA, December 2001
pagerange: 786-792
event_dates: Orlando, Florida
id_number: 10.1109/.2001.980202
refereed: TRUE
isbn: 0-7803-7061-9 
book_title: Decision and Control Conference
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=980202&isnumber=21114
citation:   Bemporad, Alberto and Roll, Jacob and Ljung, Lennart  Identification of hybrid systems via mixed-integer programming.   In:  Decision and Control Conference.   IEEE, Orlando, Florida USA, December 2001, pp. 786-792.  ISBN 0-7803-7061-9       (2001)