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Data prediction-system identification tool

Hello, I have been working with the control design and simulation module of the labview and PXI DAQ hardware. I have temperature control process running and receiving the temperature data in labview. I was able to recursively identify the models of underlying process from the stimulus and response data and the system identification toolbox for different models like ARX, ARMAX etc. My idea is to predict data so that even in case of loss of my response channel data, the previolsy identified model should be able to predict the response based on the identified model and stimulus data. What I have found is that the prediction VI from the system identification  toolbox requires the response signal too as the input which I may not have (owing to failure of the sensor) once my model is identified. I may be wrong in using the prediction VI. I would request someone to shed some light on the issue. Thanks....

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