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# RealTime OpenControl (RTOC)
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|[](https://realtimeopencontrol.readthedocs.io/en/latest/)|[](https://github.com/Haschtl/RealTimeOpenControl/releases)|[](https://pypi.python.org/pypi/RTOC/)|[](https://pypi.python.org/pypi/RTOC/)|[](https://pypi.python.org/pypi/RTOC/)|[](https://github.com/Haschtl/RealTimeOpenControl/releases/)|[](https://github.com/Haschtl/RealTimeOpenControl/releases/)|
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|[](https://realtimeopencontrol.readthedocs.io/en/latest/)|[](https://github.com/Haschtl/RealTimeOpenControl/releases)|[](https://pypi.python.org/pypi/RTOC/)|[](https://pypi.python.org/pypi/RTOC/)|[](https://pypi.python.org/pypi/RTOC/)|[](https://github.com/Haschtl/RealTimeOpenControl/releases/)|[](https://github.com/Haschtl/RealTimeOpenControl/releases/)|
Estimate n values in future for a signal using Convolutional Neural Network model. You need to install the following python packages with pip3: ``pip3 install tensorflow keras``
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Args:
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x_input=x_input.reshape((1, 3, 1))
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yhat=model.predict(x_input, verbose=0)
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print(yhat)
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defPT2_estimation(x,y, n, k=100, t1=101, t2=100, t0=25):
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"""
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Estimate n values in future for a signal with PT2-behavior.
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Args:
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x (list): List of x-values
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y (list): List of y-values
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n (int): Number of values to be estimated
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k (float): Initial parameter for PT2
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t1 (float): Initial parameter for PT2
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t2 (float): Initial parameter for PT2
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t0 (float): Initial parameter for PT2
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Returns:
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x (list): List of estimated x-values
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y (list): List of estimated y-values
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"""
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def_pt2(x, k, t1, t2, t0):
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"""
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Verzögerungs-Übertragungsglied zweiter Ordnung. Z.b.: zur Temperaturanalyse
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