Moving Horizon Estimation (MHE) is an optimization approach that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces estimates of unknown variables or parameters. Unlike deterministic approaches like the Kalman filter, MHE requires an iterative approach that relies on linear programming or nonlinear programming solvers to find a solution.
See http://apmonitor.com/wiki/index.php/Main/Estimation for a tutorial video and information on using these files.
John Hedengren (2020). Moving Horizon Estimation (https://www.mathworks.com/matlabcentral/fileexchange/41949-moving-horizon-estimation), MATLAB Central File Exchange. Retrieved .