Design, Modeling, and Nonlinear Model Predictive Tracking Control of a Novel Autonomous Surface Vehicle
© 2018 IEEE. In this paper, we present the design, modeling, and real-time nonlinear model predictive control (NMPC) of an autonomous robotic boat. The robot is easy to manufacture, highly maneuverable, and capable of accurate trajectory tracking in both indoor and outdoor environments. In particula...
Main Authors: | Wang, Wei (Author), Mateos, Luis A. (Author), Park, Shinkyu (Author), Leoni, Pietro (Author), Gheneti, Banti (Author), Duarte, Fabio (Author), Ratti, Carlo (Author), Rus, Daniela (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE,
2021-11-03T16:12:15Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Trajectory Planning for the Shapeshifting of Autonomous Surface Vessels
by: Gheneti, Banti, et al.
Published: (2021) -
Reconfigurable Autonomous Surface Vehicles : perception and trajectory optimization algorithms
by: Gheneti, Banti Henricus.
Published: (2019) -
Autonomous Latching System for Robotic Boats
by: Mateos, Luis A, et al.
Published: (2021) -
Learning-based Nonlinear Model Predictive Control of Reconfigurable Autonomous Robotic Boats: Roboats
by: Kayacan, Erkan, et al.
Published: (2021) -
A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
by: Shan, Tixiao, et al.
Published: (2022)