@article{trawny2005indirect, title={Indirect Kalman filter for 3D attitude estimation}, author={Trawny, Nikolas and Roumeliotis, Stergios I}, journal={University of Minnesota, Dept. of Comp. Sci. \& Eng., Tech. Rep}, volume={2}, pages={2005}, year={2005}, publisher={Citeseer} } ...
N. Trawny, S.I. Roumeliotis, Indirect Kalman Filter for Attitude Estimation, Dept. of Computer Science & Engineering, Technical Report, Vol. 2, Mar. (2005).Nikolas Trawny and Stergios I. Roumeliotis, Indirect Kalman Filter for 3D Attitude Estimation. A tuto- rial for quaternion algebra. ...
Indirect Kalman Filter for 3D Attitude Estimation A Tutorial for Quaternion Algebra Multiple Autonomous Robotic Systems Laboratory Technical Report Number ... In this paper, we present three fast, hybrid numeric- algebraic methods to solve polynomial systems in floating point representation, based on the...
20.Aiming at the characteristics of RLG strapdown inertial navigation system,the performances of Kalman filter,analytic gyrocompassing and indirect estimation are analyzed in theory. 针对激光陀螺捷联导航系统的特点,从理上分析了卡尔曼滤波法、解析陀螺罗经法和间估计法3种捷联导航系统常用初始对准方法的特点。
When the system is not completely known, the standard indirect model-based (two-steps) filtering solution consists of: (i) identify a model of the system from measured input/output data; (ii) design a Kalman filter based on the estimated model. The performance of this indirect approach are ...
An indirect adaptive control for an autonomous underwater vehicle-manipulator system (UVMS) based on an extended Kalman filter (EKF) is presented in this paper. This method overcomes the disadvantages of existing disturbance observers and direct adaptive control schemes, which are designed or analyzed...
In an interesting application to climate change, Diebold, Göbel, Coulombe, Rudebush, and Zhang (2021) implement Kalman filter and smoother (KFS) algorithms to extract an optimal combined measure of the extent of Arctic sea ice based on four different measures of sea-ice extent obtained from...
A stochastically nonlinear state estimator, Extended Kalman Filter (EKF) is suggested for this purpose. Using this observer, the rotor speed and rotor fluxes are estimated simultaneously. The motor model designed for EKF application involves rotor speed, dq-axis stator currents. A number of ...
(2020); however, compared to state-of-the-art applications in the nuclear field, this work proposes a novel approach by integrating the standard POD for Finite Volume with the Kalman Filter, a DA method for direct integration of the available experimental data within the numerical model (Intro...
Using this state-space form, a Kalman filter can be applied to estimate the state indirectly. A simulated example is given.DOI: Wu, Z.Q. and Harris, C.J. (1996) Indirect Adaptive Neurofuz 被引量: 11 年份: 1996 收藏 引用 批量引用 报错 分享 ...