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Found 5 essays matching the above criteria.
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1. Trajectory Optimization of Smart City Scenarios Using Learning Model Predictive Control
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Smart cities embrace cutting-edge technologies to improve transportation efficiency and safety. With the rollout of 5G and an ever-growing network of connected infrastructure sensors, real-time road condition awareness is becoming a reality. However, this progress brings new challenges. READ MORE
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2. Linearization Based Model Predictive Control of a Diesel Engine with Exhaust Gas Recirculation and Variable-Geometry Turbocharger
University essay from Linköpings universitet/FordonssystemAbstract : Engine control systems aim to ensure satisfactory output performance whilst adhering to requirements on emissions, drivability and fuel efficiency. Model predictive control (MPC) has shown promising results when applied to multivariable and nonlinear systems with operational constraints, such as diesel engines. READ MORE
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3. Learning model predictive control with application to quadcopter trajectory tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In thiswork, we develop a learning model predictive controller (LMPC) for energy-optimaltracking of periodic trajectories for a quadcopter. The main advantage of this controller isthat it is “reference-free”. Moreover, the controller is able to improve its performance overiterations by incorporating learning from the previous iterations. READ MORE
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4. Autonomous Overtaking with Learning Model Predictive Control
University essay from KTH/Optimeringslära och systemteoriAbstract : We review recent research into trajectory planning for autonomous overtaking to understand existing challenges. Then, the recently developed framework Learning Model Predictive Control (LMPC) is presented as a suitable method to iteratively improve an overtaking manoeuvre each time it is performed. READ MORE
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5. Learning Model Predictive Control for Autonomous Racing : Improvements and Model Variation in Model Based Controller
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this work, an improved Learning Model Predictive Control (LMPC)architecture for autonomous racing is presented. The controller is referencefree and is able to improve lap time by learning from history data of previouslaps. READ MORE