Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/96993
Title: Robust unbiased H∞ filtering for uncertain two-dimensional systems
Authors: Xu, Huiling
Lin, Zhiping
Makur, Anamitra
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Xu, 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.
Abstract: This 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.
URI: https://hdl.handle.net/10356/96993
http://hdl.handle.net/10220/11746
DOI: http://dx.doi.org/10.1109/ICARCV.2012.6485332
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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