Change Detection for Nonlinear Systems; A Particle
by
Filtering Approach Azimi-Sadjadi
| Citations: | 8 - 0 self |
BibTeX
@MISC{Azimi-Sadjadi_changedetection,
author = {Filtering Approach Azimi-Sadjadi},
title = {Change Detection for Nonlinear Systems; A Particle},
year = {}
}
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Abstract
In this paper we present a change detection method for nonlinear stochastic systems based on Projection Particle Filtering. The statistic for this method is chosen in such a way that it can be calculated recursively while the computational complexity of the method remains constant with respect to time. We present some simulation results that show the advantages of this method compared to linearization techniques.
