Abstract
AbstractThis paper extends an efficient robust Model Predictive Control (MPC) methodology based on offline optimization of prediction dynamics in two respects. Firstly the case of output feedback via an observer is considered. Secondly, a method is proposed for imposing a bound on worst case performance using dynamic feedback which allows a nominal optimal feedback law to be implemented when this is feasible. The method is applicable to the case of uncertain systems which are not robustly stabilized by nominal LQ-optimal control. An efficient online optimization with feasibility and stability guarantees is proposed.
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.
