Reinforcement learning based optimal tracking control under unmeasurable disturbances with application to HVAC systems

SAA Rizvi, AJ Pertzborn, Z Lin - IEEE transactions on neural …, 2021 - ieeexplore.ieee.org
This paper presents the design of an optimal controller for solving tracking problems subject
to unmeasurable disturbances and unknown system dynamics using reinforcement learning …

[HTML][HTML] Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems

SAA Rizvi, AJ Pertzborn, Z Lin - IEEE transactions on neural …, 2022 - ncbi.nlm.nih.gov
This paper presents the design of an optimal controller for solving tracking problems subject
to unmeasurable disturbances and unknown system dynamics using reinforcement learning …

Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems

SAA Rizvi, AJ Pertzborn, Z Lin - IEEE transactions on …, 2022 - pubmed.ncbi.nlm.nih.gov
This paper presents the design of an optimal controller for solving tracking problems subject
to unmeasurable disturbances and unknown system dynamics using reinforcement learning …

Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems.

SAA Rizvi, AJ Pertzborn, Z Lin - IEEE Transactions on Neural …, 2022 - europepmc.org
This paper presents the design of an optimal controller for solving tracking problems subject
to unmeasurable disturbances and unknown system dynamics using reinforcement learning …

Reinforcement Learning Based Optimal Tracking Control UnderUnmeasurable Disturbances with Application to HVAC Systems

SAA Rizvi, A Pertzborn, Z Lin - 2021 - nist.gov
This work presents the design of an optimal disturbance rejecting tracking controller based
on reinforcement learning. The problem involves finding the optimal control parameters that …

[PDF][PDF] Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems

SAA Rizvi, AJ Pertzborn, Z Lin - tsapps.nist.gov
This paper presents the design of an optimal con-troller for solving tracking problems subject
to unmeasurable disturbances and unknown system dynamics using reinforcement learning …