Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96993
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dc.contributor.authorXu, Huilingen
dc.contributor.authorLin, Zhipingen
dc.contributor.authorMakur, Anamitraen
dc.date.accessioned2013-07-17T06:42:35Zen
dc.date.accessioned2019-12-06T19:37:40Z-
dc.date.available2013-07-17T06:42:35Zen
dc.date.available2019-12-06T19:37:40Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationXu, H., Lin, Z., & Makur, A. (2012). Robust unbiased H∞ filtering for uncertain two-dimensional systems. 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 1296-1301.en
dc.identifier.urihttps://hdl.handle.net/10356/96993-
dc.identifier.urihttp://hdl.handle.net/10220/11746en
dc.description.abstractThis paper is concerned with the problem of robust unbiased H∞ filtering for uncertain two-dimensional (2-D) systems described by the Fornasini-Marchesini local state-space second model. The parameter uncertainties are assumed to be norm-bounded in both the state and measurement equations. The concept of robust unbiased filtering is first introduced into uncertain 2-D systems. A necessary and sufficient condition for the existence of robust unbiased 2-D H∞ filters is derived based on the rank condition of the given system matrices. A method is then proposed for the design of robust unbiased H∞ filters for uncertain 2-D systems using a linear matrix inequality (LMI) technique. The main advantage of the proposed method is that it can be applied to unstable uncertain 2-D systems while existing robust 2-D H∞ filtering approaches only work for robust stable uncertain 2-D systems. An illustrative example is also provided and comparison with existing results is made.en
dc.language.isoenen
dc.rights© 2012 IEEE.en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleRobust unbiased H∞ filtering for uncertain two-dimensional systemsen
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.conferenceInternational Conference on Control Automation Robotics & Vision (12th : 2012 : Guangzhou, China)en
dc.identifier.doihttp://dx.doi.org/10.1109/ICARCV.2012.6485332en
item.grantfulltextnone-
item.fulltextNo Fulltext-
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