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US Patent 11774122 Building control system with adaptive online system identification

Patent 11774122 was granted and assigned to Johnson Controls on October, 2023 by the United States Patent and Trademark Office.

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Patent
Patent

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Current Assignee
Johnson Controls
Johnson Controls
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11774122
Patent Inventor Names
Anas W. I. Alanqar
Fang Du
Michael J. Wenzel
Mohammad N. Elbsat
Date of Patent
October 3, 2023
Patent Application Number
16738878
Date Filed
January 9, 2020
Patent Citations
‌
US Patent 10088814 System identification and model development
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US Patent 10908578 Temperature control system and methods for operating same
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US Patent 10871756 Temperature control system and methods for operating same
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US Patent 10921768 Temperature control system and methods for operating same
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US Patent 9235657 System identification and model development
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US Patent 9429923 HVAC control system and method
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US Patent 9447985 HVAC control system and methods for operating same
Patent Primary Examiner
‌
Nathan L Laughlin
CPC Code
‌
F24F 11/30
Patent abstract

A controller for equipment that operates to affect a variable state or condition of a building including one or more processors and non-transitory computer-readable media storing instructions that, when executed by the processors, cause the processors to perform operations. The operations include generating a new predictive model using training data associated with one or more durations selected from a time period and selected to satisfy a set of criteria. The predictive model models system dynamics of the building during the time period. The operations include storing the new predictive model in a database including predictive models that model the system dynamics of the building and include comparing performance of the new predictive model and the predictive models stored by the database to select a particular predictive model for controlling the equipment. The operations include using the particular predictive model to generate and provide control signals to the equipment.

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