daecb7f5fb29e305a52e · Reinforcement Learning Based Optimal Tracking Control UnderUnmeasurable Disturbances with Application to HVAC Systems
Reinforcement Learning Based Optimal Tracking Control UnderUnmeasurable Disturbances with Application to HVAC Systems
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 yield asymptotic output tracking in the presence of unmeasurable
{
"title_en": "Reinforcement Learning Based Optimal Tracking Control UnderUnmeasurable Disturbances with Application to HVAC Systems",
"designation": "",
"series": "",
"status": "",
"date": "2021-06-18",
"date_original": "June 18, 2021",
"url": "https://www.nist.gov/publications/reinforcement-learning-based-optimal-tracking-control-underunmeasurable-disturbances",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Syed Ali Asad Rizvi , Amanda Pertzborn , Zongli Lin",
"abstract_excerpt_en": "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 yield asymptotic output tracking in the presence of unmeasurable",
"id": "daecb7f5fb29e305a52e",
"sources": [
"NIST Publications"
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{
"title_en": "Reinforcement Learning Based Optimal Tracking Control UnderUnmeasurable Disturbances with Application to HVAC Systems",
"designation": "",
"series": "",
"status": "",
"date": "2021-06-18",
"date_original": "June 18, 2021",
"url": "https://www.nist.gov/publications/reinforcement-learning-based-optimal-tracking-control-underunmeasurable-disturbances",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Syed Ali Asad Rizvi , Amanda Pertzborn , Zongli Lin",
"abstract_excerpt_en": "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 yield asymptotic output tracking in the presence of unmeasurable"
}
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}