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This paper presents a generalized predictive controller based on RBF neural network (RBF-NN) for a class of nonlinear system with time delay. The procedure of the proposed control system includes two parts: RBF-NN modeling and predictive control algorithm design. The RBF-NN model can predict future outputs of the plant and the predictive value can be amended online, which allows it to employ to complex...
Researching the application of neural networks and the Smith predictor in the system with time-delay, considering the delayed problem of the system, a new control approach is introduced, which can realize the predictive control by combining the Smith predictor with the NN and PID control which is tuned by BP neural network through the predictive errors effectively. We use the RBFNN in the Smith predictor,...
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