Decentralised model predictive control with stability constraints and its application in process control

Tuan, HD; Savkin, A; Nguyen, TN; Nguyen, HT

Decentralised model predictive control with stability constraints and its application in process control

Tuan, HD

Savkin, A Nguyen, TN

Nguyen, HT

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Publication Type:: Journal Article
Citation:: Journal of Process Control, 2015, 26 pp. 73 - 89
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Savkin, A	en_US
dc.contributor.author	Nguyen, TN https://orcid.org/0000-0002-9958-9876	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Journal of Process Control, 2015, 26 pp. 73 - 89	en_US
dc.identifier.issn	0959-1524	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33319
dc.description.abstract	© 2015 Elsevier Ltd All rights reserved. This paper presents a novel decentralised model predictive control for a plant consisting of interconnected systems. A constructive technique for online stabilisation that is applicable to the model predictive controllers (MPC) is developed. The plant-wise stability is achievable by the newly introduced asymptotically positive realness constraint (APRC) for MPC. Simulations are provided to demonstrate the efficiency of the presented APRC.	en_US
dc.relation.ispartof	Journal of Process Control	en_US
dc.relation.isbasedon	10.1016/j.jprocont.2015.01.002	en_US
dc.subject.classification	Chemical Engineering	en_US
dc.title	Decentralised model predictive control with stability constraints and its application in process control	en_US
dc.type	Journal Article
utslib.citation.volume	26	en_US
utslib.for	090602 Control Systems, Robotics and Automation	en_US
utslib.for	0904 Chemical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	26	en_US

Abstract:

© 2015 Elsevier Ltd All rights reserved. This paper presents a novel decentralised model predictive control for a plant consisting of interconnected systems. A constructive technique for online stabilisation that is applicable to the model predictive controllers (MPC) is developed. The plant-wise stability is achievable by the newly introduced asymptotically positive realness constraint (APRC) for MPC. Simulations are provided to demonstrate the efficiency of the presented APRC.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/33319