Decision Support System Based on Fuzzy Cognitive Maps and Run-to-Run Control for Global Set-Point Determination

The selection of the set points of the process variables plays a fundamental role in the final output of modern processes, as the quality characteristics of the final product and the performance metrics of the process are heavily influenced by these decisions. This paper presents a decision support system to determine these set points based on three components: a model of the system of interest based on the Fuzzy Cognitive Maps methodology, an optimization problem that provides the most appropriate actions to perform in each particular situation, and an observer that augments the optimization problem and allows to include feedback to the system, practically implementing a run-to-run control approach. A simple application example is included to illustrate the proposed approach.