DocumentCode :
1050476
Title :
New Design of Robust 
Filters for 2-D Systems
Author :
Gao, Huijun ; Meng, Xiangyu ; Chen, Tongwen
Author_Institution :
Harbin Inst. of Technol., Harbin
Volume :
15
fYear :
2008
fDate :
6/30/1905 12:00:00 AM
Firstpage :
217
Lastpage :
220
Abstract :
This paper presents a new approach to the design of robust filters for uncertain 2-D systems described by the Fornasini-Marchesini (FM) model. The polynomially parameter-dependent approach is developed to solve the addressed filtering problem, with a new linear matrix inequality condition obtained for the existence of desired Hinfin filters. An example is given to show the reduced conservatism of the proposed method.
Keywords :
filtering theory; linear matrix inequalities; polynomial matrices; uncertain systems; Fornasini-Marchesini model; linear matrix inequality; polynomially parameter-dependent approach; robust Hinfin filters; uncertain 2-D systems; Boundary conditions; Design methodology; Filtering; Linear matrix inequalities; Nonlinear filters; Polynomials; Robustness; State estimation; Filtering; multidimensional systems; robustness; uncertain systems;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2007.913136
Filename :
4443130
Link To Document :
