Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Neural Controller with Online Learning on Nonlinear System in a Cylindrical Tank

Version 1 : Received: 16 September 2018 / Approved: 17 September 2018 / Online: 17 September 2018 (11:39:35 CEST)

How to cite: Camerino, M.; Pacheco, F. Neural Controller with Online Learning on Nonlinear System in a Cylindrical Tank. Preprints 2018, 2018090305. https://doi.org/10.20944/preprints201809.0305.v1 Camerino, M.; Pacheco, F. Neural Controller with Online Learning on Nonlinear System in a Cylindrical Tank. Preprints 2018, 2018090305. https://doi.org/10.20944/preprints201809.0305.v1

Abstract

Most systems that are the subject of control engineering studies have some non-linearity. An example of this is the horizontal cylindrical tank, commonly used in process industries. To deal with cases like this, several control theories have been developed over time, each one presenting better results in certain systems. This work presents an alternative for the control of nonlinear systems, without necessary modeling or previous information about the system, based on a new optimization law for the artificial neural network training in real time.

Keywords

Neural Controller; Nonlinear control; Cylindrical Tank.

Subject

Engineering, Control and Systems Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.