Title :
H∞ filtering study based on Roesser model
Author :
Jing Jiang ; Lixin Dong
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
This paper mainly discusses a linear 2-D filter to solve the H∞ filtering problem for the 2-D Roesser model system. It lets H∞ noise attenuation guarantee a prescribed level for any energy bounded noise input. To solve the 2-D H∞ filtering problem, the LMI approach is designed. The method for obtaining the general form of the 2-D H∞ filter is given. It is verified by a related instance of image processing. The simulation results show that it exhibits the better filtering effect.
Keywords :
H∞ filters; linear matrix inequalities; 2D H∞ filtering problem; 2D Roesser model system; H∞ filtering study; H∞ noise attenuation; LMI approach; energy bounded noise input; filtering effect; image processing; linear 2D filter; Attenuation; Boundary conditions; Computational modeling; Filtering; Image processing; Mathematical model; Noise; 2-D system; H∞ filtering; LMI; Roesser model;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161747
