Intelligent robust control of unstable dynamic object with remote knowledge base tuning

This work is a continuation of series of papers published in previous issues of the electronic journal. The control object is a classical problem of the theory of control «Cart–Pole». In the experiment used a more sophisticated robot with second feedback. In this paper the technology of fuzzy controller design based on the measured physi-cal signal for creating teaching signal is described. In this paper the comparison of the fuzzy controllers is de-scribed using the software tool as «Soft Computing Optimizer» with the classical PID controller. Setting up a knowledge base of fuzzy controller is carried out using a remote connection to the control object in real time.