Identification and control of dynamic systems using recurrent fuzzy neural networks
IEEE Transactions on Fuzzy Systems
Supervisory recurrent fuzzy neural network control of wing rock for slender delta wings
IEEE Transactions on Fuzzy Systems
An optimal tracking neuro-controller for nonlinear dynamic systems
IEEE Transactions on Neural Networks
Fast training of recurrent networks based on the EM algorithm
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Dynamic neural controllers for induction motor
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Diagonal recurrent neural networks for dynamic systems control
IEEE Transactions on Neural Networks
A Model Predictive Control of a Grain Dryer with Four Stages Based on Recurrent Fuzzy Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Sliding Mode Control for Missile Electro-hydraulic Servo System Using Recurrent Fuzzy Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
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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 (RFNNBAC) is proposed, in which, two RFNN are used to identify and control plant respectively. Simulation experiments are made by applying proposed RFNNBAC on AC servo control problem to confirm its effectiveness.