Abstract
The plant model is able to be constructed by the neural networks, i.e., by identifying the plant model using the neural networks. But it is somehow difficult to obtain a control law from the plant model based on this neural network. The iterative inverse method has been proposed for this problem, but for this method it is necessary to determine two parameters (convergence coefficient and 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 using Jacobian of neural networks. It is shown that the proposed method is effective to control the thermal power plant by simulations.
