We write MATLAB codes to run an approximate Bayesian filter and compare its conditional mean and variance with an Extended Kalman filter.

Program Overview There are 10 MATLAB functions included in the System Function folder of this repository. The three main functions are KFupdate, IDcorrect and IDpredict; these are used to call the ...

This paper proposes a Kalman filter based state-of-charge (SOC) estimation MATLAB function using a second-order RC equivalent circuit model (ECM). The function requires the SOC-OCV (open circuit ...

The Kalman filter is another one of the real‐time computational algorithms for state estimation. This chapter introduces mathematical models used in the Kalman filter followed by a derivation ...

I've uploaded my C/C++ (and MATLAB) Kalman Filter library as open source project to GitHub: ️ https://lnkd.in/ef4-7Wu4 It is pretty fast on embedded targets and can handle measurement outliers ...

Article citations More>> M. S. Grewal and A. P. Andrews, “Kalman Filtering Theory and Practice Using MATLAB,” 3rd Edition, John Wiley & Sons, Inc, New York, 2008. has been cited by the following ...

Article citations More>> Grewal, M.S. and Andrews, A.P. (2014) Kalman Filtering Theory and Practice Using MATLAB. 4th Edition, John Wiley & Sons Inc., New York. has been cited by the following article ...

function Motor % Discrete-time extended Kalman filter simulation for two-phase % step motor. Estimate the stator currents, and the rotor position % and velocity, on the basis of noisy measurements of ...