Abstract: This paper presents a new multiobjective type optimization algorithm known as a Multiobjective Optimization Simulated Kalman Filter (MOSKF). It is a further enhancement of a single-objective ...

Abstract: Fusion localization based on Kalman filter is a commonly used method, especially in narrow and enclosed underground environments. The poor performance of sensors such as LiDAR, GPS and ...

A spacecraft attitude kinematics model, attitude measurement model, and filter algorithm are three important parts in spacecraft attitude determination, and a high-precision filtering algorithm is the ...

The px, py, vx, vy output coordinates have an RMSE <= [0.08, 0.08, 0.60, 0.60] when using the file: "sample-laser-radar-measurement-data-1.txt". The px, py, vx, vy output coordinates have an RMSE <= ...

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...