Determining input variable ranges given a trained regression model and an output range

• Published in: IEEE International Conference on Industrial Informatics (INDIN) Vol. 1; pp. 245 - 252
• Main Authors: Oses, Noelia, Legarretaetxebarria, Aritz, Quartulli, Marco, Olaizola, Igor G., Serrano, Mikel
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2019
• Subjects: decision tree classifier; Industry 4.0; input value determination given output range; Input variables; Lamination; Mathematical models; open-loop control generalisation; PD control; PI control; Process control; Production facilities; Regression tree analysis; Training data; Transfer functions

Industrial process control systems try to keep an output variable within a given tolerance around a target value. PID control systems have been widely used in industry to control input variables in order to reach this goal. However, this kind of Transfer Function based approach cannot be extended to...