Optimal actuator/sensor selection through dynamic output feedback

Argha, A; Su, SW; Savkin, A

Optimal actuator/sensor selection through dynamic output feedback

Argha, A

Su, SW

Savkin, A

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, pp. 3624 - 3629
Issue Date:: 2016-12-27

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Field	Value	Language
dc.contributor.author	Argha, A https://orcid.org/0000-0002-8276-9774	en_US
dc.contributor.author	Su, SW https://orcid.org/0000-0002-5720-8852	en_US
dc.contributor.author	Savkin, A	en_US
dc.date.issued	2016-12-27	en_US
dc.identifier.citation	2016 IEEE 55th Conference on Decision and Control, CDC 2016, 2016, pp. 3624 - 3629	en_US
dc.identifier.isbn	9781509018376	en_US
dc.identifier.uri	http://hdl.handle.net/10453/89357
dc.description.abstract	© 2016 IEEE. This paper is devoted to the problem of optimal selection of a subset of available actuators/sensors through a multi-channel H22 dynamic output feedback controller for continuous linear time invariant systems. Incorporating two extra terms for penalizing the number of actuators and sensors into the optimization objective function, we develop an iterative process to identify the favorable row/column-wise sparse DOF gains. Employing the identified structure, we solve the constructed row/column structured multi-channel H22 DOF problem in order to derive a gain that exploits optimum number of sensors/actuators by which the closed-loop stability is maintained and the performance degradation of the closed-loop system is restricted. Through an example we demonstrate the remarkable performance and broad applicability of the proposed approach.	en_US
dc.relation.ispartof	2016 IEEE 55th Conference on Decision and Control, CDC 2016	en_US
dc.relation.isbasedon	10.1109/CDC.2016.7798814	en_US
dc.title	Optimal actuator/sensor selection through dynamic output feedback	en_US
dc.type	Conference Proceeding
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 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:

© 2016 IEEE. This paper is devoted to the problem of optimal selection of a subset of available actuators/sensors through a multi-channel H22 dynamic output feedback controller for continuous linear time invariant systems. Incorporating two extra terms for penalizing the number of actuators and sensors into the optimization objective function, we develop an iterative process to identify the favorable row/column-wise sparse DOF gains. Employing the identified structure, we solve the constructed row/column structured multi-channel H22 DOF problem in order to derive a gain that exploits optimum number of sensors/actuators by which the closed-loop stability is maintained and the performance degradation of the closed-loop system is restricted. Through an example we demonstrate the remarkable performance and broad applicability of the proposed approach.

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http://hdl.handle.net/10453/89357