Abstract: A determination section of a sleep control apparatus determines an awakening point based on target data. The target data is time-series data of biological information of a target person in a target period. The target period is a period between wakefulness to failing asleep of the target person, or a period from the wakefulness of the target person to a time point at which a predetermined time has passed since the target person fell asleep. The controller controls a target device so that the target device stimulates the target person to wake up at the awakening point.

Abstract: A state quantity prediction device includes: a first differential predictive value calculation unit configured to deal with a nonlinear component of a function whose variables are dynamic characteristics of the state quantity with respect to the input parameter and a difference value between a past predictive value of the state quantity and a predictive value of the physical model, input the input parameter and the past predictive value of the state quantity, and include a learned neutral network for outputting a first differential predictive value; a second differential predictive value calculation unit configured to deal with a linear component of the function, input the input parameter and the past predictive value, and output a second differential predictive value; and a state quantity predictive value calculation unit configured to calculate a predictive value of the state quantity.