Perturbed cooperative-state feedback strategy for model predictive networked control of interconnected systems

Tran, T; Ha, QP

Perturbed cooperative-state feedback strategy for model predictive networked control of interconnected systems

Tran, T Ha, QP

Permalink

Publication Type:: Journal Article
Citation:: ISA Transactions, 2018, 72 pp. 110 - 121
Issue Date:: 2018-01-01

Closed Access

	Filename	Description	Size
	1-s2.0-S0019057817305669-main.pdf	Published Version	2.98 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Tran, T	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.date.available	2017-09-22	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	ISA Transactions, 2018, 72 pp. 110 - 121	en_US
dc.identifier.issn	0019-0578	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125376
dc.description.abstract	© 2017 ISA A perturbed cooperative-state feedback (PSF) strategy is presented for the control of interconnected systems in this paper. The subsystems of an interconnected system can exchange data via the communication network that has multiple connection topologies. The PSF strategy can resolve both issues, the sensor data losses and the communication network breaks, thanks to the two components of the control including a cooperative-state feedback and a perturbation variable, e.g., ui=Kijxj+wi. The PSF is implemented in a decentralized model predictive control scheme with a stability constraint and a non-monotonic storage function (ΔV(x(k))≥0), derived from the dissipative systems theory. Numerical simulation for the automatic generation control problem in power systems is studied to illustrate the effectiveness of the presented PSF strategy.	en_US
dc.relation.ispartof	ISA Transactions	en_US
dc.relation.isbasedon	10.1016/j.isatra.2017.09.017	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Perturbed cooperative-state feedback strategy for model predictive networked control of interconnected systems	en_US
dc.type	Journal Article
utslib.citation.volume	72	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0910 Manufacturing 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 - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	72	en_US

Abstract:

© 2017 ISA A perturbed cooperative-state feedback (PSF) strategy is presented for the control of interconnected systems in this paper. The subsystems of an interconnected system can exchange data via the communication network that has multiple connection topologies. The PSF strategy can resolve both issues, the sensor data losses and the communication network breaks, thanks to the two components of the control including a cooperative-state feedback and a perturbation variable, e.g., ui=Kijxj+wi. The PSF is implemented in a decentralized model predictive control scheme with a stability constraint and a non-monotonic storage function (ΔV(x(k))≥0), derived from the dissipative systems theory. Numerical simulation for the automatic generation control problem in power systems is studied to illustrate the effectiveness of the presented PSF strategy.

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

http://hdl.handle.net/10453/125376