An Adaptive Control for AC Servo System Using Recurrent Fuzzy Neural Network

• Published in: Advances in Natural Computation pp. 190 - 195
• Main Authors: Sun, Wei, Wang, Yaonan
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Adaptive Control; Applied sciences; Artificial intelligence; Cellular Neural Network; Computer science; control theory; systems; Exact sciences and technology; Fuzzy Rule; Learning Automaton; Recurrent Neural Network; Recurrent neural nets; Ac motor; Feedback system; Inference; Neural network; Adaptive control; Fuzzy neural nets; Servomechanism; Servomotor
• ISBN: 9783540283256; 3540283250; 3540283234; 9783540283232
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11539117_29

A kind of recurrent fuzzy neural network (RFNN) is constructed by using recurrent neural network (RNN) to realize fuzzy inference. In this kind of RFNN, temporal relations are embedded in the network by adding feedback connections on the first layer of the network. And a RFNN based adaptive control...