RADIANT HEATING CONTROLS AND METHODS FOR AN ENVIRONMENTAL CONTROL SYSTEM

Patent №

US 8,965,587

Granted

2015-02-24

Filed 2013

Owner

NEST LABS, INC.

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14085594

Embodiments of the invention describe thermostats that use model predictive controls and related methods. A method of controlling a thermostat using a model predictive control may involve determining a parameterized model. The parameterized model may be used to predicted ambient temperature values for an enclosure. A set of radiant heating system control strategies may be selected for evaluation to determine an optimal control strategy from the set of control strategies. To determine the optimal control strategy, a predictive algorithm may be executed, in which each control strategy is applied to the parameterized model to predict an ambient temperature trajectory and each ambient temperature trajectory is processed in view of a predetermined assessment function. Processing the ambient temperature trajectory in this manner may involve minimizing a cost value associated with the ambient temperature trajectory. The radiant heating system may subsequently be controlled according to the selected optimal control strategy.

Machine learningPlanningF24F 11/46F24F 11/30F24F 11/523F24F 11/58F24F 11/62F24F 11/64F24F 11/65F24F 11/88+5 more

AI classification

Planning1.00
Machine learning0.52
Evolutionary computation0.28
AI hardware0.07
Knowledge representation0.02
Natural language0.00
Vision0.00
Speech0.00

Ownership

NEST LABS, INC.

assignment · 385140731

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