Reinforcement learning approach to autonomous PID tuning
Many industrial processes utilize proportional-integral-derivative (PID) controllers due to
their practicality and often satisfactory performance. The proper controller parameters …
their practicality and often satisfactory performance. The proper controller parameters …
Derivative based kalman filter and its implementation on tuning PI controller for the van de vusse reactor
This work focusses on predictive PI (PPI) control law employing on a class of stable,
nonlinear benchmark process. To facilitate controller parameter (s) updation, two different …
nonlinear benchmark process. To facilitate controller parameter (s) updation, two different …
Reinforcement Learning-based Process Control Under Sensory Uncertainty
O Dogru - 2023 - era.library.ualberta.ca
Process industries involve processes that have complex, interdependent, and sometimes
uncontrollable/unobservable features that are subject to a variety of uncertainties such as …
uncontrollable/unobservable features that are subject to a variety of uncertainties such as …