Parameterized bilinear matrix inequality techniques for ℋ<inf>∞</inf> gain-scheduling proportional integral derivative control design

Shi, Y; Tuan, HD; Apkarian, P

Parameterized bilinear matrix inequality techniques for ℋ<inf>∞</inf> gain-scheduling proportional integral derivative control design

Shi, Y

Tuan, HD Apkarian, P

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: International Journal of Robust and Nonlinear Control, 2020, 30, (10), pp. 3886-3905
Issue Date:: 2020-07-10

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Field	Value	Language
dc.contributor.author	Shi, Y https://orcid.org/0000-0003-2302-4980
dc.contributor.author	Tuan, HD
dc.contributor.author	Apkarian, P
dc.date.accessioned	2021-03-25T20:15:39Z
dc.date.available	2021-03-25T20:15:39Z
dc.date.issued	2020-07-10
dc.identifier.citation	International Journal of Robust and Nonlinear Control, 2020, 30, (10), pp. 3886-3905
dc.identifier.issn	1049-8923
dc.identifier.issn	1099-1239
dc.identifier.uri	http://hdl.handle.net/10453/147533
dc.description.abstract	© 2020 John Wiley & Sons, Ltd. Proportional-integral-derivative (PID) structured controller is the most popular class of industrial control but still could not be appropriately exploited in gain-scheduling control systems. To gain the practicability and tractability of gain-scheduling control systems, this paper addresses the (Formula presented.) gain-scheduling PID control. The design of such a controller is based on parameterized bilinear matrix inequalities, which are then solved via a bilinear matrix inequality optimization problem of nonconvex optimization. Several computational procedures are developed for its computation. The merit of the developed algorithms is shown through the benchmark examples.
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	International Journal of Robust and Nonlinear Control
dc.relation.isbasedon	10.1002/rnc.4979
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.title	Parameterized bilinear matrix inequality techniques for ℋ<inf>∞</inf> gain-scheduling proportional integral derivative control design
dc.type	Journal Article
utslib.citation.volume	30
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0102 Applied Mathematics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
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/Strength - AAII - Australian Artificial Intelligence Institute
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/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2021-03-25T20:15:38Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	30
utslib.citation.issue	10

Abstract:

© 2020 John Wiley & Sons, Ltd. Proportional-integral-derivative (PID) structured controller is the most popular class of industrial control but still could not be appropriately exploited in gain-scheduling control systems. To gain the practicability and tractability of gain-scheduling control systems, this paper addresses the (Formula presented.) gain-scheduling PID control. The design of such a controller is based on parameterized bilinear matrix inequalities, which are then solved via a bilinear matrix inequality optimization problem of nonconvex optimization. Several computational procedures are developed for its computation. The merit of the developed algorithms is shown through the benchmark examples.

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

http://hdl.handle.net/10453/147533