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A compound neural network was constructed during the process of identification and multi-step prediction.Under the PID-type long-range predictive cost function, the control sinal was calculated based on gradient algorithm.The nonlinear controller’s structure was similar to the conventional PID controller.The parameters of tiffs controller were tuned by using a local recurrent neural network on-line.The controller has a better effect than the conventional PID controller.Simulation study shows the effectiveness and good performance.
A compound neural network was constructed during the process of identification and multi-step prediction. Unitically the PID-type long-range predictive cost function, the control sinal was calculated based on gradient algorithm. The nonlinear controller’s structure was similar to the conventional PID controller The parameters of tiffs controller were tuned by using a local recurrent neural network on-line. The controller has a better effect than the conventional PID controller. Simulation study shows the effectiveness and good performance.