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- W2247872133 abstract "This paper reports the direct controller for nonlinear plants using a neural network. The controllerwas composed of an approximate controller and a neural network auxiliary controller. The approximate controllerprovides rough control and the neural network controller gives the complementary signal to further reduce theoutput tracking error. This method does not place too much restriction on the type of nonlinear plant to becontrolled. In this method, a RBF neural network was trained and the system showed stable performance for theinputs it has been trained for. The simulation results showed that it was quite effective and could realizesatisfactory control of the nonlinear system." @default.
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- W2247872133 date "2013-12-01" @default.
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- W2247872133 title "Direct Controller for Nonlinear System Using a Neural Network" @default.
- W2247872133 hasPublicationYear "2013" @default.
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