Abstract
AbstractThis work proposes a method, based on optimization, for tuning model–based predictive controllers. The optimized controller has to guarantee appropriated gain and phase margins, sensitivity functions and robustness specifications. The method will be illustrated on Generalized Predictive Control, GPC, and its fractional–order counterpart, FGPC. The method has been tested out and validated in a real time application, the control of a rail–vehicle.
Sign-in/Register to access full text options 
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.
