How to estimate a model with a positive impulse response, i.e., with only real poles?

1 次查看（过去 30 天）
Eike Petersen
Eike Petersen 2018-12-6
I would like to estimate a system model from input and output data that has a purely positive impulse response. If I understand correctly, this is equivalent to all the poles of the transfer function being real.
One possible solution to the problem is given by the "process estimation" methods, which by default enforce real poles. For instance,
load dryer2;
dry = iddata(y2,u2,0.08);
opt = procestOptions('Focus', 'simulation');
sys = procest(dry, 'P3DZ', opt);
figure;
impulse(sys);
does exactly what I want (see below).
However, the procest method seems to only work for a very limited class of models (max. 1 zero, max. 3 poles). Is there any way to achieve the same thing for more general models?

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Linear Model Identification 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by