Reduced-Order H∞ Filters for Uncertain 2-D Continuous Systems, Via LMIs and Polynomial Matrices

被引:0
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作者
Chakir El-Kasri
Abdelaziz Hmamed
Fernando Tadeo
机构
[1] LESSI,Department of Physics, Faculty of Sciences Dhar El Mehraz
[2] University of Valladolid,Department of Systems Engineering and Automatic Control
关键词
2-D Continuous systems; Uncertain systems; filtering; Linear matrix inequality (LMI);
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摘要
This paper deals with designing H∞ filters of reduced order for two dimensional (2-D) continuous systems described by Roesser models, with uncertain state space matrices. These filters are characterized in terms of linear matrix inequalities (LMI), to minimize a bound on the H∞ noise attenuation, by using homogeneous polynomially parameter-dependent matrices of arbitrary degree. The methodology is also particularized for full order and zero order (static) filters, where more simple LMI conditions are derived. Numerical examples are presented to illustrate the proposed methodology.
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页码:1189 / 1214
页数:25
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