2004
DOI: 10.1049/ip-cta:20040064
|View full text |Cite
|
Sign up to set email alerts
|

Robust Kalman filtering via Krein space estimation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
16
0

Year Published

2007
2007
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 32 publications
(16 citation statements)
references
References 13 publications
0
16
0
Order By: Relevance
“…Again, the assumption is made that the relationship is linear. So the measurement z k can be expressed in terms of the state x k [10] with…”
Section: Kalman Filtermentioning
confidence: 99%
See 2 more Smart Citations
“…Again, the assumption is made that the relationship is linear. So the measurement z k can be expressed in terms of the state x k [10] with…”
Section: Kalman Filtermentioning
confidence: 99%
“…Step 3: Compute the Kalman gain: Step 4: Update estimation with measurements: (10) Step 5: Update the error covariance:…”
Section: Figure 5 Kalman Filter Cyclementioning
confidence: 99%
See 1 more Smart Citation
“…A wellknown approach is traditional Kalman filtering, which is based on the assumption that the external disturbances are Gaussian white noises [9][10][11][12]. In the past few decades, as one of the most important problems in control theory, much attention has been paid to the filtering problem.…”
mentioning
confidence: 99%
“…In the past few decades, as one of the most important problems in control theory, much attention has been paid to the filtering problem. A wellknown approach is traditional Kalman filtering, which is based on the assumption that the external disturbances are Gaussian white noises [9][10][11][12]. However, when the external disturbances are not precisely known, Kalman filtering is no longer valid.…”
mentioning
confidence: 99%