Fuzzy-neuron Combining Control And Its Application Into Tracking System Of Light Source

The fuzzy-neuron combining control is one of the forword developing direction of intelligent control. The theory and application of fuzzy-neuron combining control system are discussed in this thesis.The thesis mainly probes into the possibility of combining fuzzy control and single neuron control, and analyses concrete forms combining the two with examples. A fuzzy-neuron combining control method is presented for the defect of fuzzy control system that lacks self adjustment ability. This method makes use of the self study ability of single neuron to adjust the adjustable factorαof fuzzy control system on-line, and realizes the self adjustment of fuzzy regulation warehouse. Finally, this method is applied into tracking system of light source with MATLAB simulation experiments, and compares with fuzzy control tactics and single neuron control tactics. The results show that fuzzy-neuron combining control method have better excellent performance and robustness.