Use N4sid for system identification (for new data estimation)
6 ビュー (過去 30 日間)
古いコメントを表示
Hi,
I am using N4sid toolbox to do a system identification problem. I used the command: "m = n4sid(z, 5,'Form','free', opt);" to create the system based on measured "input" and "output" (contains in z=z = iddata(y', u', 0.2, 'Name', 'heating/cooling load', 'TimeUnit', 's');".
However,I still want to use this model to predict some unmeasured cases. To be more specific, I have a new input measurement U2, I want to used to model to predict the output from U2. How can I realize that? What is command for this estimation using the model from N4sid?
Thanks very much.
0 件のコメント
採用された回答
Rajiv Singh
2013 年 7 月 3 日
編集済み: Rajiv Singh
2013 年 7 月 3 日
Computing response of a model to a given input is called simulation. Use the idParametric/sim command for that as in:
Ud = iddata([], U2, .2);
Yd = sim(m, Ud);
Y2 = Yd.y; % the raw response data
See:
その他の回答 (0 件)
参考
カテゴリ
Help Center および File Exchange で Linear Model Identification についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!