Comments (1)
Dear andialles,
thank you very much for your post and your interest in Sippy.
Your simple solution actually fixes the problem, but it is not definitive.
Please note that system identification should be avoided when input/output data are low informative, that is, when the standard deviation of even one input/output vector is equal (or very close to) zero.
It will be our our care to solve this issue by implementing a function that checks stdev of I/O data, and then rejects to perform sys-id (and/or emits a warning) below a suitable threshold value.
We will release this update in the next future
All the best
Sippy Team
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Related Issues (20)
- Please update document SS_max_order or SS_orders if a valid IC is used. HOT 1
- Why the SS_threshold is 0.0 HOT 3
- Fails to install under Windows HOT 4
- Output of the identified model Yid is not correct HOT 6
- io_opt - bad import? HOT 1
- NameError: name 'Nb' is not defined HOT 6
- Support new Pythons HOT 7
- Invalid license?
- BJ identification
- Box-Jenkins MIMO- Invalid Transfer functions HOT 1
- Setup script exited with Problem with the CMake installation HOT 3
- SIMO/SISO model verification with functionset.validation HOT 4
- How to install it through Anaconda? HOT 1
- ARMA(X) Model prediction is a bit ambigious HOT 2
- Some suggestions
- Forecasting with trained model
- Problem with model simulation
- a bug in the example codes? HOT 5
- Problem for simulating Linear Parameter Varying Model
- Regarding prediction and identified coefficient of input/output models. HOT 8
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