Search for dissertations about: "nonlinear model predictive control for autonomous vehicles"
Showing result 1 - 5 of 15 swedish dissertations containing the words nonlinear model predictive control for autonomous vehicles.
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1. Adaptive Lateral Model Predictive Control for Autonomous Driving of Heavy-Duty Vehicles
Abstract : Autonomous Vehicle (AV) technology promises safer, greener, and more efficient means of transportation for everyone. AVs are expected to have their first big impact in closed environments, such as mining areas, ports, and construction sites, where Heavy-Duty Vehicles (HDVs) operate. READ MORE
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2. Model Predictive Control for Cooperative Rendezvous of Autonomous Unmanned Vehicles
Abstract : This thesis investigates cooperative maneuvers for aerial vehicles autonomously landing on moving platforms. The objective has been to develop methods for safely performing such landings on real systems subject to a variety of disturbances, as well as physical and computational constraints. READ MORE
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3. Nonlinear Model Predictive Control for Autonomous Vehicles
Abstract : In this thesis we consider the problem of designing and implementing Model Predictive Controllers (MPC) for stabilizing the dynamics of an autonomous ground vehicle. For such a class of systems, the non-linear dynamics and the fast sampling time limit the real-time implementation of MPC algorithms to local and linear operating regions. READ MORE
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4. Autonomous and Cooperative Landings Using Model Predictive Control
Abstract : Cooperation is increasingly being applied in the control of interconnected multi-agent systems, and it introduces many benefits. In particular, cooperation can improve the efficiency of many types of missions, and adds flexibility and robustness against external disturbances or unknown obstacles. READ MORE
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5. Lateral Model Predictive Control for Autonomous Heavy-Duty Vehicles : Sensor, Actuator, and Reference Uncertainties
Abstract : Autonomous vehicle technology is shaping the future of road transportation. This technology promises safer, greener, and more efficient means of transportation for everyone. READ MORE