Abstract
In the paper, an approach for the direct design of LPV controllers from data is proposed. The approach overcomes some relevant problems typical of the standard design methods, such as model uncertainty and complex control design and/or implementation. After a preliminary closed-loop stability analysis, a relaxed algorithm for direct control design from data is presented. The resulting controller is able to provide closed-loop stability when the number of data used for design is large. Moreover, the controller is sparse, allowing an efficient implementation on real-time processors, and is almost-optimal in terms of tracking error precision. A numerical example, regarding control of the Duffing oscillator, is presented to show the effectiveness of the proposed approach.
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.
