Krein-space approach to robust filtering for uncertain systems with time-varying bias

2013 ◽  
Vol 11 (4) ◽  
pp. 634-641
Author(s):  
Heming Jia ◽  
Wenlong Song ◽  
Jin Feng
2012 ◽  
Vol 23 (4) ◽  
pp. 596-602 ◽  
Author(s):  
Jin Feng ◽  
Fei Yu ◽  
Na Yang ◽  
Pengyu Zhang ◽  
Wei Gao

2009 ◽  
Vol 34 (12) ◽  
pp. 1529-1533 ◽  
Author(s):  
Mai-Ying ZHONG ◽  
Shuai LIU ◽  
Hui-Hong ZHAO

Automatica ◽  
2022 ◽  
Vol 135 ◽  
pp. 110001
Author(s):  
Maiying Zhong ◽  
Steven X. Ding ◽  
Qing-Long Han ◽  
Xiao He ◽  
Donghua Zhou

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Huihong Zhao ◽  
Chenghui Zhang

This paper is concerned with the finite-timeH∞filtering problem for linear continuous time-varying systems with uncertain observations andℒ2-norm bounded noise. The design of finite-timeH∞filter is equivalent to the problem that a certain indefinite quadratic form has a minimum and the filter is such that the minimum is positive. The quadratic form is related to a Krein state-space model according to the Krein space linear estimation theory. By using the projection theory in Krein space, the finite-timeH∞filtering problem is solved. A numerical example is given to illustrate the performance of theH∞filter.


2001 ◽  
Vol 148 (6) ◽  
pp. 502-508 ◽  
Author(s):  
S. H. Jin ◽  
K. K. Kim ◽  
J. B. Park ◽  
T. S. Yoon

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