Research about the new of fuzzy neural network controller based on compromise features

General fuzzy controller in the control rules to determine the need, after adjustment, time-consuming and laborious; with a correction factor of fuzzy controller to change the correction factor, the entire control of the table almost affected, would make some point to meet the control requirement has led to some point does not meet the requirements. To solve these problems, proposed a new type of fuzzy controller design method to retain the advantages of the fuzzy controller based on effectively overcome the shortcomings and uses neural network technology to enable the new type of fuzzy controller improved accuracy and robustness. Through simulation studies to verify its excellent properties, and has high control precision, jump smaller advantages.