most citedOptimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

29 citations · 38 across the 2 of their papers we have counts for

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2 papers

math.OC2020★ 29 cited

Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen +3

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 pro…

math.OC2020★ 9 cited

Reinforcement Learning based Design of Linear Fixed Structure Controllers

Nathan P. Lawrence, Gregory E. Stewart, Philip D. Loewen +3

Reinforcement learning has been successfully applied to the problem of tuning PID controllers in several applications. The existing methods often utilize function approximation, su…