Výsledky vyhledávání - "Backstrom, Johan"

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Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach

Autor: McClement, Daniel G., Lawrence, Nathan P., Backstrom, Johan U., Loewen, Philip D., Forbes, Michael G., Gopaluni, R. Bhushan

Publikováno v: Journal of Process Control 2022

Meta-learning is a branch of machine learning which trains neural network models to synthesize a wide variety of data in order to rapidly solve new problems. In process control, many systems have similar and well-understood dynamics, which suggests i

Externí odkaz: http://arxiv.org/abs/2203.09661

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Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning

Autor: Lawrence, Nathan P., Forbes, Michael G., Loewen, Philip D., McClement, Daniel G., Backstrom, Johan U., Gopaluni, R. Bhushan

Publikováno v: Control Engineering Practice 2022

Deep reinforcement learning (RL) is an optimization-driven framework for producing control strategies for general dynamical systems without explicit reliance on process models. Good results have been reported in simulation. Here we demonstrate the ch

Externí odkaz: http://arxiv.org/abs/2111.07171

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Reinforcement Learning based Design of Linear Fixed Structure Controllers

Autor: Lawrence, Nathan P., Stewart, Gregory E., Loewen, Philip D., Forbes, Michael G., Backstrom, Johan U., Gopaluni, R. Bhushan

Reinforcement learning has been successfully applied to the problem of tuning PID controllers in several applications. The existing methods often utilize function approximation, such as neural networks, to update the controller parameters at each tim

Externí odkaz: http://arxiv.org/abs/2005.04537

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Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

Autor: Lawrence, Nathan P., Stewart, Gregory E., Loewen, Philip D., Forbes, Michael G., Backstrom, Johan U., Gopaluni, R. Bhushan

Deep reinforcement learning (DRL) has seen several successful applications to process control. Common methods rely on a deep neural network structure to model the controller or process. With increasingly complicated control structures, the closed-loo

Externí odkaz: http://arxiv.org/abs/2005.04539

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