Chaotification of Discrete Systems Based on Models Identified from Data

This work discusses the chaotification of nonchaotic discrete systems based on a procedure that requires the jacobian matrix of the uncontrolled dynamics. The aim is to verify if chaotification is still effective when the jacobian is analytically obtained from identified models (data-driven models) rather than assumed known. This study, that includes two numerical examples, shows that chaotification can be achieved using nonlinear models. Several other issues concerning modeling and the control effort required for chaotification are briefly discussed.