SISO model - how to "auto tune"?

Hi,

Have two versions of a "black box" function/model. No visibility on internals of function.

Single Input-Single Output with a set of tuning parameters.

Say for Version A I know tuning parameters. So can obtain step response.

Then for Version B would like some way to "auto tune" a set of parameters that will give same (or very similar) step response.

Can anyone give me an outline of a method how to achieve this?

I am not afraid of bit of scripting, if required.

Any information appreciated.

[Birdman]

Firstly, can you share your black box model and what you have done so far?

Answer 1

[Arkadiy Turevskiy]

Hi,

One option is to use Simulink Design Optimization .

Essentially, you would set up an optimization problem to tune parameters to minimize mismatch between simulated and desired step response. Please take a look at the doc and examples of this product and respond with any questions.

[Michael Cody]

Hi, Thanks for suggestion. DOn't have this toolkit. I will try find colleague who does and see if can progress my project.