DocumentCode
938372
Title
Extension of Friedland´s separate-bias estimation to randomly time-varying bias of nonlinear systems
Author
Zhou, D.H. ; Su, Y.X. ; Xi, Y.G. ; Zhang, Z.J.
Author_Institution
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Volume
38
Issue
8
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
1270
Lastpage
1273
Abstract
By extending B. Friedland´s (1969) separate-bias estimation algorithm for linear systems to nonlinear systems and combining the result with the suboptimal fading extended Kalman filter proposed by D.H. Zhou (1990) and by D.H. Zhou et al., a pseudo-separate-bias estimation algorithm for randomly time-varying bias of a class of nonlinear time-varying stochastic systems is obtained. A simulation example is presented to illustrate the effectiveness of the algorithm
Keywords
Kalman filters; identification; nonlinear control systems; time-varying systems; Friedland´s separate-bias estimation; nonlinear systems; pseudo-separate-bias estimation; randomly time-varying bias; suboptimal fading extended Kalman filter; time-varying stochastic systems; Automatic control; Electrical equipment industry; Fading; Linear systems; Noise measurement; Nonlinear systems; State estimation; Stochastic systems; Sun; Time varying systems;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.233167
Filename
233167
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