Results 11 to 20 of about 67,963 (266)
On the convergence of the unscented Kalman filter
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Assia Daid +2 more
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Convergence rates of Gaussian ODE filters [PDF]
AbstractA recently introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems. These methods model the true solutionxand its firstqderivativesa priorias a Gauss–Markov process$${\varvec{X}}$$X, which is then iteratively conditioned on information
Hans Kersting +2 more
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General methods of convergence and summability
This paper is on general methods of convergence and summability. We first present the general method of convergence described by free filters of N $\mathbb{N} $ and study the space of convergence associated with the filter.
Francisco Javier García-Pacheco +2 more
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A Tracking Algorithm for Sparse and Dynamic Underwater Sensor Networks
An underwater sensor network (UWSN) has sparse and dynamic characteristics. In sparse and dynamic UWSNs, the traditional particle filter based on multi-rate consensus/fusion (CF/DPF) has the problems of a slow convergence rate and low filtering accuracy.
Haiming Liu, Bo Xu, Bin Liu
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On Filter Convergence of Series
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Leonov, Alexander, Orhan, Cihan
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Abstract We are inspired by the work of Henri Cartan [16], Bourbaki [10] (TG. I Filtres) and Claude Wagschal [34]. We define the base of filter, image filter, convergent filter bases, limit filter and the filter base of tails (fr: filtre des sections).
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In this paper, we have introduced the idea of I-convergence of filters and studied its various properties. We have proved the necessary and sufficient condition for a filter to be I-convergent.
JAMWAL, Dalip Singh +2 more
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Filter Convergence and Fuzzy Topology [PDF]
After introducing many different types of prefilter convergence, we introduce an universal method to define various notions of compactness using cluster point and convergence of a prefilter and to prove the Tychonoff theorem using characterizations of ultra(maximal) prefilters.
Kyung Chan Min +2 more
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Initial alignment of the strapdown inertial navigation system (SINS) is intended to determine the initial attitude matrix in a short time with certain accuracy.
Tao Zhang +4 more
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On the convergence of a risk sensitive like filter [PDF]
In this paper, we analyze the convergence of a risk sensitive like filter where the risk sensitivity parameter is time varying. Such filter has a Kalman like structure and its gain matrix is updated according to a Riccati like iteration. We show that the iteration converges to a fixed point by using the contraction analysis.
ZORZI, MATTIA, Levy, Bernard C.
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