A review on optimal placement of sensors for cooperative localization of AUVs
Systems in nature are stochastic as well as nonlinear. In traditional applications, engineered
filters aim to minimize the stochastic effects caused by process and measurement noise …
filters aim to minimize the stochastic effects caused by process and measurement noise …
Estimation-Aware Trajectory Optimization with Set-Valued Measurement Uncertainties
In this paper, we present an optimization-based framework for generating estimation-aware
trajectories in scenarios where measurement (output) uncertainties are state-dependent and …
trajectories in scenarios where measurement (output) uncertainties are state-dependent and …
Nonlinear observability of unicycle multi-agent teams subject to sensor bias and environmental disturbance
In this paper, we consider the problem of localizing a team of unicycle agents with
collaborative ranging, onboard compass measurements, and access to a subset of agent …
collaborative ranging, onboard compass measurements, and access to a subset of agent …
Optimal formation configuration analysis for cooperative localization system of multi-AUV
J Qu, X Li, G Sun - IEEE Access, 2021 - ieeexplore.ieee.org
Aiming at the problem that the quality of measurement information directly affects the
performance of cooperative localization of multiple autonomous underwater vehicles (multi …
performance of cooperative localization of multiple autonomous underwater vehicles (multi …
[KNJIGA][B] Nonlinear state estimation and noise adaptive Kalman filter design for wind turbines
B Ritter - 2020 - tubiblio.ulb.tu-darmstadt.de
Modern wind turbines have grown significantly in nacelle heights and rotor diameters over
the last three decades and will probably do so in the future. Additionally, more and more …
the last three decades and will probably do so in the future. Additionally, more and more …