Multi-realization of nonlinear systems

Su, SW; Anderson, BDO; Chen, W; Nguyen, HT

Multi-realization of nonlinear systems

Su, SW

Anderson, BDO Chen, W Nguyen, HT

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE Conference on Decision and Control, 2009, pp. 5901 - 5905
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Anderson, BDO	en_US
dc.contributor.author	Chen, W	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	Proceedings of the IEEE Conference on Decision and Control, 2009, pp. 5901 - 5905	en_US
dc.identifier.isbn	9781424438716	en_US
dc.identifier.issn	0191-2216	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12678
dc.description.abstract	The system multi-realization problem is to find a state-variable realization for a set of systems, sharing as many parameters as possible. A multi-realization can be used to efficiently implement a multi-controller architecture for Multiple Model Adaptive Control (MMAC). We extend the linear multi-realization problem to nonlinear systems. The problem of minimal multi-realization of a set of MIMO systems is introduced and solved for feedback linearizable systems. ©2009 IEEE.	en_US
dc.relation.ispartof	Proceedings of the IEEE Conference on Decision and Control	en_US
dc.relation.isbasedon	10.1109/CDC.2009.5399502	en_US
dc.title	Multi-realization of nonlinear systems	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	091302 Automation and Control Engineering	en_US
utslib.for	090303 Biomedical Instrumentation	en_US
dc.location.activity	Shanghai, China	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 Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

The system multi-realization problem is to find a state-variable realization for a set of systems, sharing as many parameters as possible. A multi-realization can be used to efficiently implement a multi-controller architecture for Multiple Model Adaptive Control (MMAC). We extend the linear multi-realization problem to nonlinear systems. The problem of minimal multi-realization of a set of MIMO systems is introduced and solved for feedback linearizable systems. ©2009 IEEE.

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http://hdl.handle.net/10453/12678