Abstract. This article considers the optimal estimation of the state of a dynamic observable using a mobile sensor. The main goal is.
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The main goal is to compute a sensor trajectory that minimizes the estimation error over a given time horizon taking into account uncertainties in the ...
Aug 16, 2011 · Abstract. This article considers the optimal estimation of the state of a dynamic observ- able using a mobile sensor.
The main goal is to compute a sensor trajectory that minimizes the estimation error over a given time horizon taking into account uncertainties in the ...
The main goal is to compute a sensor trajectory that minimizes the estimation error over a given time horizon taking into account uncertainties in the ...
The main goal is to compute a sensor trajectory that minimizes the estimation error over a given time horizon taking into account uncertainties in the ...
The main goal is to compute a sensor trajectory that minimizes the estimation error over a given time horizon taking into account uncertainties in the ...
This chapter provides an overview of global constraints. It discusses different types of constraints, measures of filtering and different compromises.
Nov 18, 2024 · In this paper, we present a novel optimization algorithm designed specifically for estimating state-space models to deal with heavy-tailed ...
The constrained optimization based on the kriging model not only requires that an algorithm has a more careful search in local region near the optimal solution, ...