Abstract
This paper considers the obstacle avoidance motion planning problem for autonomous vehicles operating in uncertain dynamic environments. By resorting to a set-theoretic approach, a receding horizon control algorithm is developed for robots described by linear time-invariant (LTI) systems subject to disturbance effects, input and state constraints. The resulting scheme guarantees Uniformly Ultimate Boundedness and constraints fulfilment regardless of any obstacle configuration occurrence.
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.
