Abstract

A new iterative approach for the determination of a noncausal feedforward control law suitable for set-point regulation is presented in this paper. The technique aims at estimating recursively the parameters of the system to be controlled in order to determine the exact noncausal command input to be applied to the closed-loop system in order to achieve a predefined output transition. In this context, a gradient based minimization of the integrated square error cost function is performed. Simulation results show the effectiveness of the methodology for different system characteristics.

Full Text

Published Version (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

Disclaimer: 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.