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dc.contributor.authorMahipala, Dhanika Chamath Gunarathna
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2023-08-29T08:07:47Z
dc.date.available2023-08-29T08:07:47Z
dc.date.created2023-07-31T10:27:57Z
dc.date.issued2023
dc.identifier.isbn979-8-3503-1543-1
dc.identifier.urihttps://hdl.handle.net/11250/3086118
dc.description.abstractWhile existing algorithms for open water navigation typically address path following and COLREGS compliant collision-avoidance, the unique challenges of inland waterways require a more tailored approach. We propose a two-level control strategy that employs Model Predictive Control (MPC) and Scenario-Based Model Predictive Control (SB-MPC) for path following and collision-avoidance. The algorithm proposes integrated strategies for handling riparian land, static obstacles, and dynamic obstacles. The method is tested in simulationen_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 31st Mediterranean Conference on Control and Automation (MED)
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleModel Predictive Control for Path Following and Collision-Avoidance of Autonomous Ships in Inland Waterwaysen_US
dc.title.alternativeModel Predictive Control for Path Following and Collision-Avoidance of Autonomous Ships in Inland Waterwaysen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.identifier.doi10.1109/MED59994.2023.10185796
dc.identifier.cristin2164023
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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