SISO model - how to "auto tune"?
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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.
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Arkadiy Turevskiy
am 16 Aug. 2018
Hi,
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.
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