DocumentCode :
353893
Title :
The method of designing the filter for a class of linear discrete generalized stochastic systems
Author :
Zhanmin, Yang
Author_Institution :
Inst. of Syst. Sci. & Appl. Math., Northwest Inst. of Light Ind., Shaanxi, China
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2937
Abstract :
In this paper, using the singular value decomposition of matrix and generalized inverse of matrix, the filter for linear discrete generalized stochastic system - Ex(k+1)=Ax(k)+Bu(k)+Dω(k), y(k)=Cx(k)+υ(k)(E and A is not a square matrix), has been studied. Based on this, a new method of designing the Kalman filter for this system is given
Keywords :
Kalman filters; discrete time systems; filtering theory; linear systems; singular value decomposition; stochastic systems; Kalman filter; discrete time systems; linear systems; matrix algebra; singular value decomposition; stochastic systems; Design methodology; Mathematics; Matrix decomposition; Nonlinear filters; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862604
Filename :
862604
Link To Document :
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