APRC-based decentralised model predictive control for parallel splitting systems with a matrix annihilation

Tran, T; That, ND; Ha, QP

APRC-based decentralised model predictive control for parallel splitting systems with a matrix annihilation

Tran, T That, ND Ha, QP

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Publication Type:: Conference Proceeding
Citation:: 2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013, 2013, pp. 184 - 189
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Tran, T	en_US
dc.contributor.author	That, ND	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013, 2013, pp. 184 - 189	en_US
dc.identifier.isbn	9781479905720	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31972
dc.description.abstract	A decentralised model predictive control strategy for interconnected process systems having parallel-splitting structure based on the asymptotically positive realness constraint (APRC) is presented in this paper. Parallel masking and transform descriptor approaches have been employed in previous work for this type of interconnection processes. A robust control perspective has been brought to light in this work to resolve the issue of multiple subprocess parallelised-ly decoupled in a mixed connection configuration of dynamically coupled units. An annihilation is employed to cancel out the interactive vectors between interconnected processing units. Simulation for a parallel redundant process system in mining industry is provided to demonstrate the effectiveness of the presented robust control approach to parallelised interconnected systems. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013	en_US
dc.relation.isbasedon	10.1109/ICCAIS.2013.6720551	en_US
dc.title	APRC-based decentralised model predictive control for parallel splitting systems with a matrix annihilation	en_US
dc.type	Conference Proceeding
utslib.for	1099 Other Technology	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Nha Trang, Vietnam
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:

A decentralised model predictive control strategy for interconnected process systems having parallel-splitting structure based on the asymptotically positive realness constraint (APRC) is presented in this paper. Parallel masking and transform descriptor approaches have been employed in previous work for this type of interconnection processes. A robust control perspective has been brought to light in this work to resolve the issue of multiple subprocess parallelised-ly decoupled in a mixed connection configuration of dynamically coupled units. An annihilation is employed to cancel out the interactive vectors between interconnected processing units. Simulation for a parallel redundant process system in mining industry is provided to demonstrate the effectiveness of the presented robust control approach to parallelised interconnected systems. © 2013 IEEE.

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http://hdl.handle.net/10453/31972