H-2-Based Optimal Sparse Sliding Mode Control for Networked Control Systems

Argha, A; Li, L; Su, SW; Nguyen, H

H-2-Based Optimal Sparse Sliding Mode Control for Networked Control Systems

Argha, A Li, L Su, SW Nguyen, H

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2016 55th IEEE Conference on Decision and Control, 2016, pp. 6826 - 6831 (6)
Issue Date:: 2016-12-29

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Field	Value	Language
dc.contributor.author	Argha, A	en_US
dc.contributor.author	Li, L	en_US
dc.contributor.author	Su, SW	en_US
dc.contributor.author	Nguyen, H	en_US
dc.date	2016-12-12	en_US
dc.date.issued	2016-12-29	en_US
dc.identifier.citation	2016 55th IEEE Conference on Decision and Control, 2016, pp. 6826 - 6831 (6)	en_US
dc.identifier.issn	0743-1546	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120232
dc.description.abstract	This paper is devoted to the problem of designing a sparsely distributed sliding mode control for networked systems. Indeed, this note employs a distributed sliding mode control framework by exploiting (some of) other subsystems' information to improve the performance of each local controller so that it can widen the applicability region of the given scheme. To do so, different from the traditional schemes in the literature, a novel approach is proposed to design the sliding surface, in which the level of required control effort is taken into account during the sliding surface design based on the ℋ2 control. We then use this novel scheme to provide an innovative less-complex procedure that explores sparse control networks to satisfy the underlying control objective.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	2016 55th IEEE Conference on Decision and Control	en_US
dc.relation.ispartof	IEEE Conference on Decision and Control	en_US
dc.relation.isbasedon	10.1109/CDC.2016.7799320	en_US
dc.rights	© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	H-2-Based Optimal Sparse Sliding Mode Control for Networked Control Systems	en_US
dc.type	Conference Proceeding
utslib.location.activity	Las Vegas, NV	en_US
utslib.for	0903 Biomedical Engineering	en_US
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - GEVI - Green Energy and Vehicle Innovations
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false	en_US
pubs.finish-date	2016-12-14	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2016-12-12	en_US

Abstract:

This paper is devoted to the problem of designing a sparsely distributed sliding mode control for networked systems. Indeed, this note employs a distributed sliding mode control framework by exploiting (some of) other subsystems' information to improve the performance of each local controller so that it can widen the applicability region of the given scheme. To do so, different from the traditional schemes in the literature, a novel approach is proposed to design the sliding surface, in which the level of required control effort is taken into account during the sliding surface design based on the ℋ2 control. We then use this novel scheme to provide an innovative less-complex procedure that explores sparse control networks to satisfy the underlying control objective.

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http://hdl.handle.net/10453/120232