The multiscale nature of process dynamics and model-predictive control

Orhan I. Karsligil, George Stephanopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume1
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: Jun 21 2006Jun 23 2006

Other

Other6th World Congress on Intelligent Control and Automation, WCICA 2006
CountryChina
CityDalian
Period6/21/066/23/06

Fingerprint

Model predictive control
State estimation
Control systems
Controllers

Keywords

  • Model-predictive control
  • Multiscale
  • Time-scale

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Karsligil, O. I., & 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) (Vol. 1). [1713393] https://doi.org/10.1109/WCICA.2006.1713393

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). Vol. 1 2006. 1713393.

Research output: Chapter in Book/Report/Conference proceedingConference 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). vol. 1, 1713393, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 6/21/06. https://doi.org/10.1109/WCICA.2006.1713393
Karsligil OI, Stephanopoulos G. The multiscale nature of process dynamics and model-predictive control. In Proceedings of the World Congress on Intelligent Control and Automation (WCICA). Vol. 1. 2006. 1713393 https://doi.org/10.1109/WCICA.2006.1713393
Karsligil, Orhan I. ; Stephanopoulos, George. / The multiscale nature of process dynamics and model-predictive control. Proceedings of the World Congress on Intelligent Control and Automation (WCICA). Vol. 1 2006.
@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 = "12",
day = "1",
doi = "10.1109/WCICA.2006.1713393",
language = "English (US)",
isbn = "1424403324",
volume = "1",
booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

}

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

VL - 1

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

ER -