Research on synthetic method of intelligent control based on system response characteristics

Various different types of intelligent control methods are brought to light for nonlinear and uncertainty control, but there are some limitations in all those methods. Therefore, research into synthetic methods of intelligent control and these implementations is becoming the hot subject in control areas. The paper presents the Synthetic Method of Intelligent Control based on system response characteristics combining fuzzy control and learning methods of relay oscillation, expert systems and neural networks. It is shown that the method has stable control and direct rectification which correspond to engineering needs