DocumentCode
2386198
Title
A new algorithm for simultaneous input and state estimation
Author
Fang, Huazhen ; Shi, Yang ; Yi, Jingang
Author_Institution
Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK
fYear
2008
fDate
11-13 June 2008
Firstpage
2421
Lastpage
2426
Abstract
Input and state estimation of a dynamic system can find many applications in fault detection and diagnosis, target tracking, and so on. This paper presents a new simultaneous input and state estimation scheme. A recursive algorithm is developed based on the idea of achieving minimum mean square error and minimum error variance. The convergence property of the proposed algorithm is also analyzed. Numerical examples are provided to illustrate the effectiveness of the algorithm.
Keywords
least mean squares methods; recursive estimation; state estimation; dynamic system; input estimation; minimum error variance; minimum mean square error; recursive algorithm; state estimation; Algorithm design and analysis; Convergence; Fault detection; Fault diagnosis; Mean square error methods; Nonlinear filters; Observers; Recursive estimation; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586854
Filename
4586854
Link To Document