3 papers
eess.SY2023
Aiding reinforcement learning for set point control
Ruoqi Zhang, Per Mattsson, Torbjörn Wigren
While reinforcement learning has made great improvements, state-of-the-art algorithms can still struggle with seemingly simple set-point feedback control problems. One reason for t…
eess.SY2023
Robust nonlinear set-point control with reinforcement learning
Ruoqi Zhang, Per Mattsson, Torbjörn Wigren
There has recently been an increased interest in reinforcement learning for nonlinear control problems. However standard reinforcement learning algorithms can often struggle even o…
eess.SY2023
Observer-Feedback-Feedforward Controller Structures in Reinforcement Learning
Ruoqi Zhang, Per Mattson, Torbjörn Wigren
The paper proposes the use of structured neural networks for reinforcement learning based nonlinear adaptive control. The focus is on partially observable systems, with separate ne…