Essays about: "Electrical control units"
Showing result 1 - 5 of 39 essays containing the words Electrical control units.
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1. Sync your tests : A qualitative study on strategies for testing asynchronous code
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The rise of Electrical control units inside of vehicles has led to strict safety regulationsin terms of testing specific software. When the software indicates errors due to inconsistenttests, instead of actual faults, problems arise and a product’s credibility and reliability arequestioned. READ MORE
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2. Data Driven Model Identification for Remote Electrical Tilt Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. READ MORE
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3. Dynamic Control, Modeling and Sizing of Hybrid Power Plants : Investigating the optimum usage of energy storage for Fortum’s hydropower
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The rapidly evolving Nordic Power System demands enhanced flexibility and robustness in electricity production. The traditional role of hydropower plants in regulating the grid frequency has been challenged by new criteria for dynamic stability, which some units struggle to meet due to their relatively poor dynamic performance. READ MORE
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4. Prognostics for Condition Based Maintenance of Electrical Control Units Using On-Board Sensors and Machine Learning
University essay from Linköpings universitet/FordonssystemAbstract : In this thesis it has been studied how operational and workshop data can be used to improve the handling of field quality (FQ) issues for electronic units. This was done by analysing how failure rates can be predicted, how failure mechanisms can be detected and how data-based lifetime models could be developed. READ MORE
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5. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE