no code implementations • 30 May 2019 • Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold
In this paper, we examine the utility of extending PID controllers with recurrent neural networks-namely, General Dynamic Neural Networks (GDNN); we show that GDNN (neural) PID controllers perform well on a range of control systems and highlight how they can be a scalable and interpretable option for control systems.
