Decentralized Model Predictive Control for Networks of Linear Systems with Coupling Delay

Tran, T; Ha, QP

Decentralized Model Predictive Control for Networks of Linear Systems with Coupling Delay

Tran, T Ha, QP

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Publication Type:: Journal Article
Citation:: Journal of Optimization Theory and Applications, 2014, 161 (3), pp. 933 - 950
Issue Date:: 2014-01-01

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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.issued	2014-01-01	en_US
dc.identifier.citation	Journal of Optimization Theory and Applications, 2014, 161 (3), pp. 933 - 950	en_US
dc.identifier.issn	0022-3239	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30099
dc.description.abstract	This paper presents a new dissipativity-based decentralized model predictive control strategy for networks of linear systems suffering from a bounded coupling delay. The notion of delay-robust dissipativity is introduced and applied to the development of interconnection stability conditions. The dissipation inequality of system trajectories is converted into a prognostic stability constraint for the optimization problem of model predictive control to guarantee the system stability. A recursive feasibility condition is derived for the constrained optimization problem, which is formulated in a semi-definite program. A numerical example of an interconnected three-unit process system is provided for illustrations. © 2013 Springer Science+Business Media New York.	en_US
dc.relation.ispartof	Journal of Optimization Theory and Applications	en_US
dc.relation.isbasedon	10.1007/s10957-013-0379-4	en_US
dc.subject.classification	Operations Research	en_US
dc.title	Decentralized Model Predictive Control for Networks of Linear Systems with Coupling Delay	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	161	en_US
utslib.for	0102 Applied Mathematics	en_US
utslib.for	0103 Numerical and Computational Mathematics	en_US
utslib.for	0906 Electrical and Electronic 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.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	161	en_US

Abstract:

This paper presents a new dissipativity-based decentralized model predictive control strategy for networks of linear systems suffering from a bounded coupling delay. The notion of delay-robust dissipativity is introduced and applied to the development of interconnection stability conditions. The dissipation inequality of system trajectories is converted into a prognostic stability constraint for the optimization problem of model predictive control to guarantee the system stability. A recursive feasibility condition is derived for the constrained optimization problem, which is formulated in a semi-definite program. A numerical example of an interconnected three-unit process system is provided for illustrations. © 2013 Springer Science+Business Media New York.

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

http://hdl.handle.net/10453/30099