Model-free control based on neural networks

A model-free control method for nonlinear plants is proposed. According to the neuron model and learning strategy in Wang et al. (1991), the neural network model is structured and the learning algorithm is also presented. Based on the neural network, the model-free controller is designed. In an example of control of a pH process, the simulation results show that the proposed control method can control a nonlinear plant efficiently.