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In this section, we will present the observation model depicted in Fig. 1.
The observation model in (3) is a multiview complete observer model.
H k is the observation model which maps the true state space into the observed space.
High-speed observation model was built, and the wire movements during machining were observed and recorded.
The simulation results show that the asynchronous observation model improves the positioning accuracy by 31.48% and velocity accuracy by 24.75% than that of the synchronous observation model.
It linearizes the movement and the observation model to provide an effective online estimation.
We have used the proposed approach on the problem of multi-target tracking with a nonlinear observation model.
This paper proposes a new algorithm based on a back-propagation (BP) network combined with an observation model.
A philosophy for electrochemical impedance spectroscopy is presented which integrates experimental observation, model development, and error analysis.
Part of the online performance observation model includes the possibility of the application itself accessing its measured performance data.
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