Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Consider Uncertain Parameters based on Sensitivity Matrix   Uncertain parameters of state-space models have always been a considerable
problem. Consider Kalman filter (CKF) and desensitized Kalman filter (DKF) are
two methods to solve this problem. Based on the sensitivity matrix respected to
the uncertain parameter vector, a special DKF with an analytical gain is given
and a new form of the CKF is derived. The mathematical equivalence between the
special DKF and the CKF is demonstrated when the sensitivity-weighting matrix
is set to the covariance of the uncertain parameter and the problem how to
select and obtain the sensitivity-weighting matrix in the DKF is solved.

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The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
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The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
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The categories of this paper are: quant-ph
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The categories of this paper are: q-fin
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The categories of this paper are: stat