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Article: Robust hyperplane synthesis for sliding mode control systems via sensitivity minimization

TitleRobust hyperplane synthesis for sliding mode control systems via sensitivity minimization
Authors
Tam, HKHo, DWCLam, J
KeywordsEigenvalue Assignment
Hyperlane Design
Robustness
Sensitivity
Sliding Modes
Issue Date2002
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/2133
Citation
Optimal Control Applications And Methods, 2002, v. 23 n. 3, p. 125-139 How to Cite?
DOI: http://dx.doi.org/10.1002/oca.707
AbstractA robust hyperplane computation scheme for sliding mode control systems is proposed in this paper. A novel sensitivity index for the sliding eigenvalues with respect to perturbations in the system matrix, the input matrix and the hyperplane matrix is derived in the first instance. The robust hyperplane design problem is then formulated as an optimization task in which the proposed sensitivity index is accordingly minimized. Gradient information of the objective function is established which permits optimization to be proceeded effectively. A numerical example with statistical testing is employed to illustrate the design technique.
Persistent Identifierhttp://hdl.handle.net/10722/156633
ISSN
0143-2087
2023 Impact Factor: 2.0
2023 SCImago Journal Rankings: 0.553
ISI Accession Number ID
WOS:000176874600002
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorTam, HKen_US
dc.contributor.authorHo, DWCen_US
dc.contributor.authorLam, Jen_US
dc.date.accessioned2012-08-08T08:43:18Z-
dc.date.available2012-08-08T08:43:18Z-
dc.date.issued2002en_US
dc.identifier.citationOptimal Control Applications And Methods, 2002, v. 23 n. 3, p. 125-139en_US
dc.identifier.issn0143-2087en_US
dc.identifier.urihttp://hdl.handle.net/10722/156633-
dc.description.abstractA robust hyperplane computation scheme for sliding mode control systems is proposed in this paper. A novel sensitivity index for the sliding eigenvalues with respect to perturbations in the system matrix, the input matrix and the hyperplane matrix is derived in the first instance. The robust hyperplane design problem is then formulated as an optimization task in which the proposed sensitivity index is accordingly minimized. Gradient information of the objective function is established which permits optimization to be proceeded effectively. A numerical example with statistical testing is employed to illustrate the design technique.en_US
dc.languageengen_US
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jhome/2133en_US
dc.relation.ispartofOptimal Control Applications and Methodsen_US
dc.subjectEigenvalue Assignmenten_US
dc.subjectHyperlane Designen_US
dc.subjectRobustnessen_US
dc.subjectSensitivityen_US
dc.subjectSliding Modesen_US
dc.titleRobust hyperplane synthesis for sliding mode control systems via sensitivity minimizationen_US
dc.typeArticleen_US
dc.identifier.emailLam, J:james.lam@hku.hken_US
dc.identifier.authorityLam, J=rp00133en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1002/oca.707en_US
dc.identifier.scopuseid_2-s2.0-0036577151en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036577151&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume23en_US
dc.identifier.issue3en_US
dc.identifier.spage125en_US
dc.identifier.epage139en_US
dc.identifier.isiWOS:000176874600002-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridTam, HK=7101835047en_US
dc.identifier.scopusauthoridHo, DWC=7402971938en_US
dc.identifier.scopusauthoridLam, J=7201973414en_US
dc.identifier.issnl0143-2087-

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