Abstract
In this paper, universal learning network (ULN), is used to identify the typical nonlinear and long time delay system. Integrating ULN with a neural-PID controller, this paper achieves an exact predictive control for pH neutralization process. Compared with the traditional Smith predictive control method, it is proved that the general architecture and learning algorithm give ULN more representing abilities to model and control the nonlinear complex systems with long time delay. It is a new effective method for identification with unknown object model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
