Title :
All H∞ singular and normal filter design for uncertain singular systems
Author :
Xu Tianqun ; Chen Yuepeng ; Zhang Jingxin ; Huanbin, Liu ; Xu Tianhe
Author_Institution :
Sch. of Sci., Wuhan Univ. of Technol., Wuhan, China
Abstract :
In this short paper, the Hinfin filter design for uncertain singular systems is considered. We study to design normal filters and singular filters for the same singular systems. Via using linear matrix inequalities (LMIs), the sufficient conditions are established for the existences of two kinds of filter forms such that two uncertain error systems are admissible and their transfer functions from the disturbance to the filtering error output satisfy a prescribed Hinfin-norm bound constraint. By solving LMIs, explicit parameterization expressions of all desired normal filters and singular filters are obtained. Furthermore, all results involve no decomposition the original singular system matrices. It makes that the procedure of filter design is simple and direct. Simultaneously, we still optimize and compare with their Hinfin performances for uncertain error systems under two kinds of filter cases. Finally, a numerical example is given to illustrate the effectiveness of the proposed design method and compare with their Hinfin performances.
Keywords :
Hinfin control; control system synthesis; linear matrix inequalities; transfer functions; uncertain systems; Hinfin singular filter design; Hinfin-norm bound constraint; linear matrix inequalities; normal filter design; singular filters; singular system matrices; transfer functions; uncertain error systems; uncertain singular systems; Automation; Educational programs; Filtering; Geophysics computing; Kalman filters; Mathematics; Nonlinear filters; Sufficient conditions; Systems engineering and theory; Transfer functions; H∞ performance; LMIs; normal filter; singular filter; uncertain singular systems;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191618