“…31,32 Finally, a chaotization problem can be stated as a tracking problem, but the goal is to meet some formal criteria of chaos. 33 Chaotization for mechanical systems can be accomplished by means of several methods including proportional derivative control, 34 saturated proportional control, 35 time-delay feedback control applied to DC motors for industrial mixing, 36 chaotization of brushless DC motor systems, [37][38][39] adaptive techniques for rigid robot manipulators, 40 feedback linearization for mobile robots, 41 proportional integral derivative control, 42 neural networks, 43 path planning generators for autonomous robots, [44][45][46] mechanism synthesis, 47 computing robot kinematics, 48 parameter identification, 49 passive dynamic walking, 50 among others. There are also some studies showing the importance of chaotization in FJR manipulators.…”