Title :
H∞ filtering of the output probability density functions for the stochastic singular systems
Author :
Lu, Renquan ; Dai, Xiaozhen ; Xue, Anke
Author_Institution :
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
This article is concerned with the problem of Hinfin filtering for output PDFs of the stochastic singular dynamics which is modeled by B-spline functions. For a given stochastic singular system, the purpose is to design static and dynamical filter such that resulting filtering error system is regular, impulse free and mean-square stable and guarantees Hinfin performance. We also derive sufficient linear matrix inequality (LMI) conditions for the existence of such a filter with free variables. Finally, we give a numerical example to show the effectiveness of the proposed method.
Keywords :
Hinfin control; filtering theory; linear matrix inequalities; probability; splines (mathematics); stochastic systems; B-spline function; Hinfin filtering; LMI; PDF; dynamical filter design; free variable; linear matrix inequality; output probability density function; static filter design; stochastic singular system; Control systems; Filtering; Gaussian noise; Linear matrix inequalities; Nonlinear filters; Probability density function; Size control; Spline; Stochastic processes; Stochastic systems; B-spline model; filter design; linear matrix inequality (LMI); probability density functions(PDFs);
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.2009.5191810