抄録
The plant model is able to be constructed by the neural networks, i.e., by identifying the plant model by the neural networks. But it is somehow difficult to obtain a control law from this neural network based plant model. The iterative inverse method has been proposed for this problem, but for this method it is necessary to determine two parameters (convergence coefficient, iterative number) and calculate the equations iteratively for obtaining a control law. The fact mentioned above is a big drawback for on-line control. This paper is related with improvement of the iterative inverse method. It is shown that the proposed method is effective to control the thermal power plant by simulations.
