Patent ID: 9235657
Filing Date: 2016-01-12
CPC Classification: G05B,G06F

Claim Text:
1. A computer-implemented method for identifying model parameters including system parameters and Kalman gain parameters in a dynamic model of a building system, the method comprising: receiving, at a controller for the building system, training data including input data and output data, wherein the input data includes a setpoint applied as a controlled input to the building system, wherein the output data measures a state or linear combination of states of the building system in response to both the setpoint and an extraneous disturbance, wherein the extraneous disturbance comprises an uncontrolled thermal input to the building system that affects the state or linear combination of states measured by the output data; performing, by the controller, a two-stage optimization process to identify the system parameters and the Kalman gain parameters, the two-stage optimization process comprising: using the dynamic model to generate, by the controller, a new setpoint for the building system, wherein the building system uses the new setpoint to affect the state or linear combination of states measured by the output data.