Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks

Manjiri Moharir; Davood Babaei Pourkargar; Ali Almansoori; Prodromos Daoutidis

doi:10.1109/CDC.2018.8619216

Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks

Manjiri Moharir, Davood Babaei Pourkargar, Ali Almansoori, Prodromos Daoutidis

Chemical Engineering and Materials Science

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

1 Scopus citations

Abstract

This work considers the problem of achieving model-based plant-wide control of a prototypical process network comprising interconnected lumped and distributed parameter systems. A community detection algorithm is used to obtain an optimal decomposition of this network for distributed control. The community detection is performed on a novel graph representation of the dynamics of the network, which accounts systematically for the interconnections among the variables of the process systems, including the different types of variables of the distributed parameter systems. The resulting distributed model predictive control implementation is shown to be computationally tractable, with performance close to that of centralized model predictive control.

Original language	English (US)
Title of host publication	2018 IEEE Conference on Decision and Control, CDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2908-2913
Number of pages	6
ISBN (Electronic)	9781538613955
DOIs	https://doi.org/10.1109/CDC.2018.8619216
State	Published - Jul 2 2018
Event	57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States Duration: Dec 17 2018 → Dec 19 2018

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2018-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	57th IEEE Conference on Decision and Control, CDC 2018
Country/Territory	United States
City	Miami
Period	12/17/18 → 12/19/18

Bibliographical note

Funding Information:
Partial financial support from the Khalifa University of Science and Technology is gratefully acknowledged.

Publisher Copyright:
© 2018 IEEE.

Access

10.1109/CDC.2018.8619216

OpenUrl availability

Full text

Cite this

Moharir, M., Babaei Pourkargar, D., Almansoori, A., & Daoutidis, P. (2018). Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 2908-2913). Article 8619216 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8619216

Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks. / Moharir, Manjiri; Babaei Pourkargar, Davood; Almansoori, Ali et al.
2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2908-2913 8619216 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

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

Moharir, M, Babaei Pourkargar, D, Almansoori, A & Daoutidis, P 2018, Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619216, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 2908-2913, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8619216

Moharir M, Babaei Pourkargar D, Almansoori A, Daoutidis P. Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks. In 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2908-2913. 8619216. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2018.8619216

@inproceedings{457f60ff4e674f1d8ba83d5e10ba43e3,

title = "Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks",

abstract = "This work considers the problem of achieving model-based plant-wide control of a prototypical process network comprising interconnected lumped and distributed parameter systems. A community detection algorithm is used to obtain an optimal decomposition of this network for distributed control. The community detection is performed on a novel graph representation of the dynamics of the network, which accounts systematically for the interconnections among the variables of the process systems, including the different types of variables of the distributed parameter systems. The resulting distributed model predictive control implementation is shown to be computationally tractable, with performance close to that of centralized model predictive control.",

author = "Manjiri Moharir and {Babaei Pourkargar}, Davood and Ali Almansoori and Prodromos Daoutidis",

note = "Funding Information: Partial financial support from the Khalifa University of Science and Technology is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2018 IEEE.; 57th IEEE Conference on Decision and Control, CDC 2018 ; Conference date: 17-12-2018 Through 19-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/CDC.2018.8619216",

language = "English (US)",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2908--2913",

booktitle = "2018 IEEE Conference on Decision and Control, CDC 2018",

}

TY - GEN

T1 - Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks

AU - Moharir, Manjiri

AU - Babaei Pourkargar, Davood

AU - Almansoori, Ali

AU - Daoutidis, Prodromos

PY - 2018/7/2

Y1 - 2018/7/2

N2 - This work considers the problem of achieving model-based plant-wide control of a prototypical process network comprising interconnected lumped and distributed parameter systems. A community detection algorithm is used to obtain an optimal decomposition of this network for distributed control. The community detection is performed on a novel graph representation of the dynamics of the network, which accounts systematically for the interconnections among the variables of the process systems, including the different types of variables of the distributed parameter systems. The resulting distributed model predictive control implementation is shown to be computationally tractable, with performance close to that of centralized model predictive control.

AB - This work considers the problem of achieving model-based plant-wide control of a prototypical process network comprising interconnected lumped and distributed parameter systems. A community detection algorithm is used to obtain an optimal decomposition of this network for distributed control. The community detection is performed on a novel graph representation of the dynamics of the network, which accounts systematically for the interconnections among the variables of the process systems, including the different types of variables of the distributed parameter systems. The resulting distributed model predictive control implementation is shown to be computationally tractable, with performance close to that of centralized model predictive control.

UR - http://www.scopus.com/inward/record.url?scp=85062185632&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062185632&partnerID=8YFLogxK

U2 - 10.1109/CDC.2018.8619216

DO - 10.1109/CDC.2018.8619216

M3 - Conference contribution

AN - SCOPUS:85062185632

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 2908

EP - 2913

BT - 2018 IEEE Conference on Decision and Control, CDC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 57th IEEE Conference on Decision and Control, CDC 2018

Y2 - 17 December 2018 through 19 December 2018

ER -

Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks

Abstract

Publication series

Conference

Bibliographical note

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this