Knowledge modeling for classical control theory based on neural network

The design is mainly directed against neural network has a strong nonlinear mapping ability to be effective in the expression of expertise and know-how to the establishment of empirical knowledge of experts from the input space to the output of the nonlinear mapping space. Classic control theory, such as root locus method and frequency response methods, are also called by experience and knowledge of experts. Therefore, this issue is envisaged that the use of the function of neural networks to solve classical correction control system to solve the problem of controller parameters.