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01/25/2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
We present a convolutional framework which significantly reduces the com...
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01/31/2022
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control
Reinforcement learning (RL) is a promising, upcoming topic in automatic ...
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05/19/2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning
Reinforcement learning (RL) is currently a popular research topic in con...
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03/30/2021
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
With electric power systems becoming more compact and increasingly power...
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03/16/2020
Data Set Description: Identifying the Physics Behind an Electric Motor – Data-Driven Learning of the Electrical Behavior (Part I)
Two of the most important aspects of electric vehicles are their efficie...
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03/13/2020
Data Set Description: Identifying the Physics Behind an Electric Motor – Data-Driven Learning of the Electrical Behavior (Part II)
A data set was recorded to evaluate different methods for extracting mat...
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01/17/2020
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
Monitoring the magnet temperature in permanent magnet synchronous motors...
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10/21/2019
