ニューラルネットワークを用いた非線形GPC

抄録

This paper focuses on a non-linear GPC (Generalized Predictive Control) algorithm by neural networks. More or less, many of the systems are non-linear systems, so the non-linear GPC algorithm is inevitable for the GPC application to the actual control systems. We use neural networks for determination of the parameters of non-linear GPC and Gauss-Newton method to obtain the control algorithm by the minimization of a cost function. The simulation results illustrate the usefulness of the technique presented in this paper.