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I acquired some input and output data sets from a PID closed loop control biological system which the input is brain stimulation and output is the measured blood flow. I tried to use system identification toolbox of Matlab. The results turned out that a second order process model can model it pretty well.
I have heard Model Predictive Control can provided better control outcome under two condition the model should be accurate enough and the plant needs to have delay.
First question I have is how to define the accuracy of modeling/system identification and how accurate it needs to be for MPC to have better control outcome?
Second question I have is how can I measure the delay of a system by using input output data sets?
I have heard Model Predictive Control can provided better control outcome under two condition the model should be accurate enough and the plant needs to have delay.
First question I have is how to define the accuracy of modeling/system identification and how accurate it needs to be for MPC to have better control outcome?
Second question I have is how can I measure the delay of a system by using input output data sets?