Moving Horizon Estimation
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.
인용 양식
John Hedengren (2024). Moving Horizon Estimation (https://www.mathworks.com/matlabcentral/fileexchange/41949-moving-horizon-estimation), MATLAB Central File Exchange. 검색됨 .
MATLAB 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux카테고리
태그
도움
받음: MINLP: Mixed Integer Nonlinear Programming, Model Predictive Control, Optimization, Nonlinear Control, and Estimation Toolbox
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!apm/
버전 | 게시됨 | 릴리스 정보 | |
---|---|---|---|
1.0.0.0 |