More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
A newly published study from the University of Guam sheds light on a tiny but powerful ally in the soil and how it could help ...
Abstract: The PID controller has been widely used for controlling interleaved buck converters in high-power applications. The mathematical estimation model of converters is employed to represent the ...
This repository contains a Python implementation of a genetic algorithm-based PID (Proportional-Integral-Derivative) controller autotuner. The system automatically optimizes PID controller parameters ...
Abstract: Combining reinforcement learning (RL) and quantization methods, this article addresses the formation control problem for a class of multi-input multi-output (MIMO) nonlinear multiagent ...
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