How to identify a sytem by the System Identification Toolbox that is invertable ?

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Lucas Maiß
Lucas Maiß 2020-4-8
回答： Rajiv Singh 2020-6-14
Hallo,
I want to design an Internal Model Controller, but I have a non-linear system. Therefore I want to generate data from the non-linear model, to identify a linear model by the System Identification Toolbox from that data. (Because I want to set the model for the IMC as M=L+(N-L) so I only have to invert the linear model for control -> Q=inv(L))
Now my problem is that for the identified system D=0 (singular) so no inv() exist. So my question is if there is a possibility to identify a system with a nonsingular D ?
Greetings
Lucas

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回答（1 个）

Rajiv Singh
Rajiv Singh 2020-6-14
Tyically yes.
  • If you are estimating state-space model, use "feedthough" name-value pair, as in ssest(Data, order, 'Feedthrough', 'on')
  • If you are estimating continuous-time transfer function, specify number of poles = number of zeros, as in tfest(data, N, N)
  • If you are estimating a discrete-time transfer function, use "feedthough" name-value pair, as in tfest(data, np, nz, 'Ts', Ts, 'Feedthrough', true)

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