Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICARCV.2010.5707876
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dc.titleExtended blending techniques with applications in robust tracking control and fault-tolerant control
dc.contributor.authorXu, J.
dc.contributor.authorXie, L.
dc.contributor.authorLum, K.Y.
dc.date.accessioned2014-11-28T01:53:39Z
dc.date.available2014-11-28T01:53:39Z
dc.date.issued2010
dc.identifier.citationXu, J.,Xie, L.,Lum, K.Y. (2010). Extended blending techniques with applications in robust tracking control and fault-tolerant control. 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010 : 911-916. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICARCV.2010.5707876" target="_blank">https://doi.org/10.1109/ICARCV.2010.5707876</a>
dc.identifier.isbn9781424478132
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111568
dc.description.abstractIn this paper, we extend the blending technique introduced in [2] to a general case. Different from [2], where all the columns of the distribution matrices of the exogenous inputs should be linearly independent of each other, we only require that part of the columns are linearly independent, and the other matrices have full column ranks. Based on this blending technique, we present a novel approach to the robust faulttolerant control scheme and robust tracking problem. The novelty lies in the fact that we can separately design the controller gains for different performance indices, while simultaneously achieving all the indices via an elegant construction of an overall controller. The design procedure is based on LMI techniques and basic linear algebra tools. ©2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICARCV.2010.5707876
dc.sourceScopus
dc.subjectBlending technique
dc.subjectFault-tolerant control
dc.subjectLMI
dc.subjectMultiple objective design
dc.subjectRobust tracking
dc.typeConference Paper
dc.contributor.departmentTEMASEK LABORATORIES
dc.description.doi10.1109/ICARCV.2010.5707876
dc.description.sourcetitle11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
dc.description.page911-916
dc.identifier.isiutNOT_IN_WOS
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