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fixed Wi-Fi

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toni
2018-09-18 12:36:41 +02:00
parent 1f44af390d
commit 4134f949b3
5 changed files with 66 additions and 54 deletions
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tex/chapters/relatedwork.tex
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@@ -91,8 +91,8 @@ Besides well chosen probabilistic models, the system's performance is also highl
They are often caused by restrictive assumptions about the dynamic system, like the aforementioned sample impoverishment.
The authors of \cite{Sun2013} handled the problem by using an adaptive number of particles instead of a fixed one.
The key idea is to choose a small number of samples if the distribution is focused on a small part of the state space and a large number of particles if the distribution is much more spread out and requires a higher diversity of samples.
The problem of sample impoverishment is then encountered by adapting the number of particles dependent upon the system's current uncertainty \cite{Fetzer-17}.
\commentByFrank{ich glaube encountered ist das falsche wort. du willst doch auf 'es wird gefixed' raus, oder? addressed? mitigated?}
The problem of sample impoverishment is then addressed by adapting the number of particles dependent upon the system's current uncertainty \cite{Fetzer-17}.
%\commentByFrank{ich glaube encountered ist das falsche wort. du willst doch auf 'es wird gefixed' raus, oder? addressed? mitigated?}
In practice, sample impoverishment is often a problem of environmental restrictions and system dynamics.
Therefore, the method above fails, since it is not able to propagate new particles into the state space due to environmental restrictions e.g. walls or ceilings.