Subspace Model Predictive Control and a Case Study

Elaine T. HALE; S. Joe QIN

doi:10.1109/ACC.2002.1025411

Subspace Model Predictive Control and a Case Study

Elaine T. HALE, S. Joe QIN

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

14 Citations (Scopus)

Abstract

This paper discusses some of the more practical aspects of combining subspace identification and model predictive control into a combined identification and control scheme. Algorithms for using subspace identified models directly in MPC are presented for the fixed model and adaptive mode cases. Details for implementing MPC with subspace models are given for both stable and integrating linear plants. Finally, MPC results are presented for a non-square integrating plant using a fixed model identified with subspace identification from noiseless data.

Original language	English
Title of host publication	Proceedings of the 2002 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
Pages	4758-4763
Number of pages	6
ISBN (Electronic)	0780372999
ISBN (Print)	0780372980
DOIs	https://doi.org/10.1109/ACC.2002.1025411
Publication status	Published - May 2002
Externally published	Yes
Event	2002 American Control Conference (ACC) - Anchorage, United States Duration: 8 May 2002 → 10 May 2002

Publication series

Name	Proceedings of the American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
ISSN (Print)	0743-1619
ISSN (Electronic)	2378-5861

Conference

Conference	2002 American Control Conference (ACC)
Country/Territory	United States
City	Anchorage
Period	8/05/02 → 10/05/02

Access to Document

10.1109/ACC.2002.1025411

Cite this

@inproceedings{540ee59aac404673b0c8ba8d5c09945a,

title = "Subspace Model Predictive Control and a Case Study",

abstract = "This paper discusses some of the more practical aspects of combining subspace identification and model predictive control into a combined identification and control scheme. Algorithms for using subspace identified models directly in MPC are presented for the fixed model and adaptive mode cases. Details for implementing MPC with subspace models are given for both stable and integrating linear plants. Finally, MPC results are presented for a non-square integrating plant using a fixed model identified with subspace identification from noiseless data.",

author = "HALE, {Elaine T.} and QIN, {S. Joe}",

year = "2002",

month = may,

doi = "10.1109/ACC.2002.1025411",

language = "English",

isbn = "0780372980",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "4758--4763",

booktitle = "Proceedings of the 2002 American Control Conference",

note = "2002 American Control Conference (ACC) ; Conference date: 08-05-2002 Through 10-05-2002",

}

HALE, ET & QIN, SJ 2002, Subspace Model Predictive Control and a Case Study. in Proceedings of the 2002 American Control Conference. Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers, pp. 4758-4763, 2002 American Control Conference (ACC), Anchorage, Alaska, United States, 8/05/02. https://doi.org/10.1109/ACC.2002.1025411

Subspace Model Predictive Control and a Case Study. / HALE, Elaine T.; QIN, S. Joe.
Proceedings of the 2002 American Control Conference. Institute of Electrical and Electronics Engineers, 2002. p. 4758-4763 (Proceedings of the American Control Conference).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

TY - GEN

T1 - Subspace Model Predictive Control and a Case Study

AU - HALE, Elaine T.

AU - QIN, S. Joe

PY - 2002/5

Y1 - 2002/5

N2 - This paper discusses some of the more practical aspects of combining subspace identification and model predictive control into a combined identification and control scheme. Algorithms for using subspace identified models directly in MPC are presented for the fixed model and adaptive mode cases. Details for implementing MPC with subspace models are given for both stable and integrating linear plants. Finally, MPC results are presented for a non-square integrating plant using a fixed model identified with subspace identification from noiseless data.

AB - This paper discusses some of the more practical aspects of combining subspace identification and model predictive control into a combined identification and control scheme. Algorithms for using subspace identified models directly in MPC are presented for the fixed model and adaptive mode cases. Details for implementing MPC with subspace models are given for both stable and integrating linear plants. Finally, MPC results are presented for a non-square integrating plant using a fixed model identified with subspace identification from noiseless data.

UR - http://www.scopus.com/inward/record.url?scp=0036061104&partnerID=8YFLogxK

U2 - 10.1109/ACC.2002.1025411

DO - 10.1109/ACC.2002.1025411

M3 - Conference paper (refereed)

SN - 0780372980

T3 - Proceedings of the American Control Conference

SP - 4758

EP - 4763

BT - Proceedings of the 2002 American Control Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 2002 American Control Conference (ACC)

Y2 - 8 May 2002 through 10 May 2002

ER -

Subspace Model Predictive Control and a Case Study

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this