system identification from input and output in python

To perform system identification from input and output data in Python, you can use libraries like SciPy or scikit-learn for building models. Below is an example using linear regression for system identification:

main.py
from sklearn.linear_model import LinearRegression

# Assuming you have input data X and output data Y
# X and Y should be in the form of numpy arrays or pandas DataFrames

# Create a Linear Regression model
model = LinearRegression()

# Fit the model using the input and output data
model.fit(X, Y)

# Predict the output for new input data
predicted_output = model.predict(new_input)

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You can further explore different machine learning algorithms and techniques based on your specific system identification requirements.

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related categories

python
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