Loop Control

For complex processes simple loop control modes (like PIDs) are not sufficient. Sometimes the desired output variable is not directly measurable in the process itself, but rather off-line, in the laboratory and on selected samples. Such processes can be mastered by advanced control algorithms such as statistical process control, soft (Fuzzy) logic, state space model control, and machine learning systems based on artificial neural networks.