“…For real situation, where a database of the process variables measurements history is available, the training data selection should cover as much as possible the dynamic conditions of the process, in order to feed model with sufficient information about the process [53]. Finally, it should be mentioned that in all the analyzed cases but, especially, in situations where only few input-output signals are available for the training and/or they may represent a biased or partial view of the process (as in the last case study, see Figure 16-(e,f), red crosses), the resulting dynamic models may be very sensible to the eventual evolution of the real process behavior through the time, which may drive it to unexpected/unexplored conditions, either due to the natural evolution of the process (e.g.…”