Intelligent robust control of unstable dynamic object. Pt. 1: remote knowledge base design using soft computing technology

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 physical signal for creating teaching signal is described. In this paper the comparison of the fuzzy controllers is described 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.