Predictions based on Evolutionary Algorithms – Implementation Aspects regarding the Control Variables' Domain

Abstract

This paper proposes a practical method to diminish the computational complexity of the controllers using predictions based on the Evolutionary Algorithm (EA). It is the case of Receding Horizon Control structures whose Controller can integrate an EA to generate the optimal predictions. In a previous paper, the authors proposed the control range adaptation to diminish the computational complexity. An additional technique called control range tuning is proposed in this paper.