Distributed model predictive control for complex interconnection systems

Tran, T; Ha, QP

Distributed model predictive control for complex interconnection systems

Tran, T Ha, QP

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Publication Type:: Conference Proceeding
Citation:: 2010 IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future, RIVF 2010, 2010
Issue Date:: 2010-12-01

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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	2010-12-01	en_US
dc.identifier.citation	2010 IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future, RIVF 2010, 2010	en_US
dc.identifier.isbn	9781424480753	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16108
dc.description.abstract	This paper presents a new communication-based distributed model predictive control (DMPC) scheme for spatially coupled systems based on linear matrix inequalities (LMI). The large-scale system in discussion is formed by several interconnected subsystems with mixed structures connected in parallel, serial and cycle configurations. Each subsystem is regulated by a dedicated model predictive controller (MPC). These local controllers communicate with their interconnected partners to update the coupling information for their online optimisation problems. An interconnection stability condition based on the dissipative systems theory is derived, taking the coupling effects into consideration. The stability condition is then converted into dynamic stability constraints for individual MPCs in a distributed manner. Upon their satisfaction, the closed-loop large-scale system with these distributed MPCs is stabilised accordingly. The main results are illustrated in simulation for a three-unit system. ©2010 IEEE.	en_US
dc.relation.ispartof	2010 IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future, RIVF 2010	en_US
dc.relation.isbasedon	10.1109/RIVF.2010.5632214	en_US
dc.title	Distributed model predictive control for complex interconnection systems	en_US
dc.type	Conference Proceeding
utslib.for	080503 Networking and Communications	en_US
dc.location.activity	Hanoi Vietnam	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

Abstract:

This paper presents a new communication-based distributed model predictive control (DMPC) scheme for spatially coupled systems based on linear matrix inequalities (LMI). The large-scale system in discussion is formed by several interconnected subsystems with mixed structures connected in parallel, serial and cycle configurations. Each subsystem is regulated by a dedicated model predictive controller (MPC). These local controllers communicate with their interconnected partners to update the coupling information for their online optimisation problems. An interconnection stability condition based on the dissipative systems theory is derived, taking the coupling effects into consideration. The stability condition is then converted into dynamic stability constraints for individual MPCs in a distributed manner. Upon their satisfaction, the closed-loop large-scale system with these distributed MPCs is stabilised accordingly. The main results are illustrated in simulation for a three-unit system. ©2010 IEEE.

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http://hdl.handle.net/10453/16108