Application of universal learning network to the pH neutralization process identification

The pH neutralization process is a typical nonlinear system, and the control and identification of such process is one of the difficult problems. It is difficult to identify such process using the traditional identification method at present. In this paper a new type of neural network, called the universal learning network, is used to identify this process. The method is easy to realize with satisfactory precision.