An Interval-based Sliding Horizon Motion Planning Method⁎. Issue 16 (2018)

• Record Type: Journal Article
• Authors: dit Sandretto, Julien Alexandre; Brendel, Elliot; Chapoutot, Alexandre
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 16(2018)
• Page Start: 296
• Page End: 301
• Publication Date: 2018
• Subjects: Formal synthesis -- Reachability -- safety analysis -- Robust control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.08.050
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: A new algorithm of motion planning based on set-membership approach is presented. The goal of this algorithm is to find a safe and optimal path taking into account various sources of bounded uncertainties on the dynamical model of the plant, on the model of the environment, while being robust with respect to the numerical approximations introduced by numerical integration methods. The main approach is based on a sliding horizon method to predict the behavior of the system allowing the computation of an optimal path. As an example, the motion planning algorithm is applied to an Autonomous Underwater Vehicle (AUV) case study, showing the benefit of the proposed approach.