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A neural network adaptive L2 robust control method is proposed for induction motors. The proposed controllers are combined with a rotor flux observer. The disturbances caused by the uncertainties of stator and rotor resistances and load torque are compensated using radial basis function neural networks (RBFNNs). Based on backstepping, RBFNN, and HJI (Hamilton-Jaccobi-Issacs) inequality, the neural...
A kind of recurrent fuzzy wavelet neural network (RFWNN) is constructed by using recurrent wavelet neural network (RWNN) to realize fuzzy inference. In the network, temporal relations are embedded in the network by adding feedback connections on the first layer of the network, and wavelet basis function is used as fuzzy membership function. An adaptive control scheme based on RFWNN is proposed, in...
A kind of recurrent fuzzy wavelet neural network (RFWNN) is constructed by using recurrent wavelet neural network (RWNN) to realize fuzzy inference. In the network, temporal relations are embedded in the network by adding feedback connections on the first layer of the network, and wavelet basis function is used as fuzzy membership function. An adaptive control scheme based on RFWNN is proposed, in...
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