Reference : Convergence of discrete-time Kalman filter estimate to continuous-time estimate for s...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/10993/29122
Convergence of discrete-time Kalman filter estimate to continuous-time estimate for systems with unbounded observation
English
Aalto, Atte mailto [Aalto University > Deparment of Mathematics and Systems Analysis > > ; Inria > Saclay Île-de-France research center]
20-Jun-2018
Mathematics of Control, Signals & Systems
Springer Science & Business Media B.V.
30
3
9
Yes (verified by ORBilu)
0932-4194
1435-568X
[en] Kalman filter ; Infinite-dimensional systems ; Boundary control systems ; temporal discretization ; sampled data
[en] In this article, we complement recent results on the convergence of the state estimate obtained by applying the discrete-time Kalman filter on a time-sampled continuous-time system. As the temporal discretization is re fined, the estimate converges to the continuous-time estimate given by the Kalman-Bucy fi lter. We shall give bounds for the convergence rates for the variance of the discrepancy between these two estimates. The contribution of this article is to generalize the convergence results to systems with unbounded observation operators under di fferent sets of assumptions, including systems with diagonalizable generators, systems with admissible observation operators, and systems with analytic semigroups. The proofs are based on applying the discrete-time Kalman fi lter on a dense, numerable subset on the time interval [0,T] and bounding the increments obtained. These bounds are obtained by studying the regularity of the underlying semigroup and the noise-free output.
http://hdl.handle.net/10993/29122
10.1007/s0049
https://arxiv.org/abs/1512.02473
This is a preprint of an article published in Mathematics of Control, Signals, and Systems.
FP7 ; 321567 - ERASYSAPP - ERASysAPP - Systems Biology Applications

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