Development of an Intelligent Controller Embedded Intelligent Robust Design Using Fuzzy Neural Network-based Control

Yoshishige Sato


Recently, electric controllers that use the model-based control of modern control theory have had frequent failures and become a problem for industry. This is due to the fact that the control gain is fixed. To address this problem, we have developed the first intelligent controller incorporating intelligent robust design using next-generation fuzzy neural network-based control, which presents the only solution to the problem. This controller includes a new kind of intelligent robust gain compensator that adaptively adjusts gain to changes in target trajectory error for sufficient control against system parameter variations, sudden disturbance, and

target changes.


fuzzy control, fuzzy-neural network, intelligent robust

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