Essays about: "Learning Model Predictive Control"
Showing result 1 - 5 of 37 essays containing the words Learning Model Predictive Control.
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1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE
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2. Data-Driven Adaptive Control of Unmanned Surface Vehicles Using Learning-Based Model Predictive Control
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : In this thesis, the subject of data-driven control of Unmanned Surface Vehicles (USVs) is explored. The control task is formulated through Nonlinear Model Predictive Path Following Control (NMPFC). System identification (SYSID) and Reinforcement Learning (RL) are employed to improve performance in a data-driven manner. READ MORE
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3. 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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4. Physics-Enhanced Machine Learning for Energy Systems
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Building operations account for a large amount of energy usage and the HVAC (Heating, Ventilation and Air Conditioning) systems are the largest consumer of energy in this sector. To reduce this demand, more energy-efficient control algorithms are implemented and a popular choice for a controller is the model predictive control. READ MORE
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5. Supervised Machine Learning Modeling in Secondary Metallurgy : Predicting the Liquid Steel Temperature After the Vacuum Treatment Step of the Vacuum Tank Degasser
University essay from KTH/MaterialvetenskapAbstract : In recent years the steelmaking industry has been subjected to continuous attempts to improve its production route. The main goals has been to increase the competitiveness and to reduce the environmental impact. The development of predictive models has therefore been of crucial importance in order to achieve such optimization. READ MORE
