Abstract
AbstractIn this work, a data-driven algorithm is proposed to directly design a gain-scheduled model-reference controller without need of identifying and transforming a model of the process. The method is based on the Virtual Reference Feedback Tuning (VRFT) approach and it guarantees good performance if model-matching can be achieved. A preliminary study of the undermodeling case is proposed to lay the groundwork of future research.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
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 call
