The multiscale nature of process dynamics and model-predictive control

Orhan I. Karsligil; George Stephanopoulos

doi:10.1109/WCICA.2006.1713393

The multiscale nature of process dynamics and model-predictive control

Orhan I. Karsligil, George Stephanopoulos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Time-scale domain is a more natural setting for the analysis and design of state estimation and control systems, given the multi-scale character of physicochemical processes. In this paper we present a multi-scale approach in modeling processes and employ these models in deriving a model-predictive controller design framework with significant advantages over traditional time-domain or frequency-domain design methods.

Original language	English (US)
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	V-IX
DOIs	https://doi.org/10.1109/WCICA.2006.1713393
State	Published - Dec 1 2006
Externally published	Yes
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: Jun 21 2006 → Jun 23 2006

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	1

Other

Other	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/Territory	China
City	Dalian
Period	6/21/06 → 6/23/06

Keywords

Model-predictive control
Multiscale
Time-scale

ASJC Scopus subject areas

Control and Systems Engineering
Software
Computer Science Applications

Access to Document

10.1109/WCICA.2006.1713393

Cite this

The multiscale nature of process dynamics and model-predictive control. / Karsligil, Orhan I.; Stephanopoulos, George.

Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. p. V-IX 1713393 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Karsligil, OI & Stephanopoulos, G 2006, The multiscale nature of process dynamics and model-predictive control. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1713393, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 1, pp. V-IX, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 6/21/06. https://doi.org/10.1109/WCICA.2006.1713393

@inproceedings{ca38ac89fc484f11aea6971e9ac29c5c,

title = "The multiscale nature of process dynamics and model-predictive control",

abstract = "Time-scale domain is a more natural setting for the analysis and design of state estimation and control systems, given the multi-scale character of physicochemical processes. In this paper we present a multi-scale approach in modeling processes and employ these models in deriving a model-predictive controller design framework with significant advantages over traditional time-domain or frequency-domain design methods.",

keywords = "Model-predictive control, Multiscale, Time-scale",

author = "Karsligil, {Orhan I.} and George Stephanopoulos",

year = "2006",

month = dec,

day = "1",

doi = "10.1109/WCICA.2006.1713393",

language = "English (US)",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "V--IX",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

TY - GEN

T1 - The multiscale nature of process dynamics and model-predictive control

AU - Karsligil, Orhan I.

AU - Stephanopoulos, George

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Time-scale domain is a more natural setting for the analysis and design of state estimation and control systems, given the multi-scale character of physicochemical processes. In this paper we present a multi-scale approach in modeling processes and employ these models in deriving a model-predictive controller design framework with significant advantages over traditional time-domain or frequency-domain design methods.

AB - Time-scale domain is a more natural setting for the analysis and design of state estimation and control systems, given the multi-scale character of physicochemical processes. In this paper we present a multi-scale approach in modeling processes and employ these models in deriving a model-predictive controller design framework with significant advantages over traditional time-domain or frequency-domain design methods.

KW - Model-predictive control

KW - Multiscale

KW - Time-scale

UR - http://www.scopus.com/inward/record.url?scp=34047223747&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34047223747&partnerID=8YFLogxK

U2 - 10.1109/WCICA.2006.1713393

DO - 10.1109/WCICA.2006.1713393

M3 - Conference contribution

AN - SCOPUS:34047223747

SN - 1424403324

SN - 9781424403325

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - V-IX

BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006

Y2 - 21 June 2006 through 23 June 2006

ER -

The multiscale nature of process dynamics and model-predictive control

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this