A LMI Approach to H-infinity Optimal Stablization of Impulsive Dynamical Systems in Uncertain conditions
dc.contributor.author | Xu, Honglei | |
dc.contributor.author | Teo, Kok | |
dc.contributor.editor | M. Fukushima | |
dc.date.accessioned | 2017-01-30T12:39:25Z | |
dc.date.available | 2017-01-30T12:39:25Z | |
dc.date.created | 2009-03-05T00:58:14Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Xu, Honglei and Teo, Kok Lay. 2007. A LMI Approach to H-infinity Optimal Stablization of Impulsive Dynamical Systems in Uncertain conditions, in M. Fukushima (ed), Optimization: Techniques and Applications, Dec 12 2007, pp. 123-124. Kobe, Japan: Universal Academy Press | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/23839 | |
dc.description.abstract |
In this paper, we consider the H-infinity optimal control problem for a class of impulsivedynamical systems with time-varying uncertainty. Based on the linear matrix inequalityapproach, we derive the sufficient conditions to ensure both internal asymptotical stability andH-infinity optimal performance of the impulsive closed-loop system and present acorresponding linear time-invariant stabilizing control law. Finally, a numerical example isgiven to illustrate the effectiveness of the feedback control law. | |
dc.publisher | Universal Academy Press | |
dc.title | A LMI Approach to H-infinity Optimal Stablization of Impulsive Dynamical Systems in Uncertain conditions | |
dc.type | Conference Paper | |
dcterms.source.startPage | 123 | |
dcterms.source.endPage | 124 | |
dcterms.source.title | Optimization: Techniques and Applications | |
dcterms.source.series | Optimization: Techniques and Applications | |
dcterms.source.isbn | 9784946443152 | |
dcterms.source.conference | Optimization: Techniques and Applications | |
dcterms.source.conference-start-date | Dec 12 2007 | |
dcterms.source.conferencelocation | Kobe, Japan | |
dcterms.source.place | Tokyo, Japan | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | School of Science and Computing | |
curtin.faculty | Department of Mathematics and Statistics | |
curtin.faculty | Faculty of Science and Engineering |