×

You are using an outdated browser Internet Explorer. It does not support some functions of the site.

Recommend that you install one of the following browsers: Firefox, Opera or Chrome.

Contacts:

+7 961 270-60-01
ivdon3@bk.ru

  • Parametric identification of control system with a feedback based on neural network processes modeling

    Results of research on control object identification based on neural network processes modeling are given. Model of object with control system is represented with a dynamic neural network and regulator model. Regulator function is known. Neural network is trained on the data of control object operating. The resulting model simulate the behavior of the system and lets us find the system’s output, including outputs for periodic test influences. By the resulting complex frequency response we find the parameters of the channel. Observed objects represent technological processes with continuous production. We show an example of identification for laboratory control object channel.

    Keywords: Object with control system, identification, neural network, modeling, complex frequency response, transfer function