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The instability of the concentration of CO2 in the system of CO2 refining is controlled by the following means: recognizing the system by neural net work; building the prediction model and the technological parameters optimization model of the system; predicting the key producing parameters which affect the concentration of CO2 the most; optimizing and controlling the key producing parameters by the...
It is difficult to have good performance to control large delay time system. A neural network identification method for nonlinear system's delay time was discussed. Using the abrupt mutation resulted from the training error sum square of the real output and the expected output of the network, this method changed the input sample period of the neural network so that it could discriminate the delay...
Use a feed forward BP neural network to forecast the output of nonlinear process, use another feed-forward BP neural network to adjust PID control parameters Kp, Ki, Kd automatically, proposed an adaptive PID controller structure which based on neural network prediction model, discussed the network structure and parameter selection problem, the design method of neural network predictive controller...
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