228 results about "Learning controller" patented technology

A method for operating a wind energy system is provided comprising the steps of setting the value of an operational parameter of the wind energy system, measuring a yield parameter of the wind energy system and measuring a condition parameter. Further, the method comprises the step of calculating an optimized value of the operational parameter based on historical data and the outcome of the measurements. The method further comprises the step of resetting the operational parameter to the optimized value of the operational parameter wherein the resetting is such that the yield parameter is optimized. Further, a wind energy system is provided having a sensor unit for measuring a yield parameter of the wind energy system, a sensor for measuring a condition parameter, an actuator for adjustment of at least one adjustable part of the wind energy system, and a self-learning controller. The self-learning controller is connected to the sensor unit and the actuator and receives measurement data from the sensor unit. The self-learning controller performs optimization calculations based on the measurement data and sends instruction signals to the actuator based on the outcome of the optimization calculations for the adjustment of the adjustable part of the wind energy system. The instruction signals are such that the yield parameter is optimized.

Monitoring system and method for use with diabetic treatment management. The system includes: a communication interface configured to permit access to stored raw log data, obtained over a certain time, being indicative of glucose measurements, meals consumed and insulin delivery; and a control unit including an unsupervised learning controller configured to receive and process said raw log data and determine at least one global insulin pump setting of basal rate, correction factor, carbohydrate ratio and insulin activity curve parameters. The system may include a processing unit including a first processor for processing measured data indicative of blood glucose level and generating first processed data, a second processor including at least one fuzzy logic module which receives input parameters corresponding to the measured data, the first processed data and a reference data, and processes the data to produce a qualitative output parameter to determine whether any treatment parameter should be modified.

A controller for controlling a position of a driven element with respect to a machine effecting end so as to be in accord with a command. An acceleration sensor is mounted to a member of the machine effecting end to which a tool is attached. Acceleration detected by the sensor is subjected to second-order integration by a torsion estimator to obtain displacement Δθ of the machine effecting end from the original position. Position feedback P1 of a driven element is subtracted from position command Pc to obtain first position deviation ε1. The displacement Δθ is added to the first position deviation ε1 to obtain second position deviation ε2. The second position deviation ε2 is subjected to learning control of a learning controller to obtain a correction value, which is added to the first position deviation ε1 to obtain velocity command Vc. The second position deviation is the sum of the displacement ε1 of the driven element from the commanded position and the displacement Δθ of the machine effecting end relative to the driven element, and thus signifies a positional displacement of the machine effecting end from the commanded position. The second position deviation is subjected to the learning control so as to converge to “0”, whereby the position of the driven element with respect to the machine effecting end becomes in accord with the command.

The present invention provides a controller for controlling a position of a driven element with respect to a machine effecting end so as to be in accord with a command. An acceleration sensor is mounted to a member of the machine effecting end to which a tool is attached. Acceleration detected by the sensor is subjected to second-order integration by a torsion estimator to obtain displacement Deltatheta of the machine effecting end from the original position. Position feedback P 1 of a driven element is subtracted from position command Pc to obtain first position deviation epsilon1. The displacement Deltatheta is added to the first position deviation epsilon1 to obtain second position deviation epsilon2. The second position deviation epsilon2 is subjected to learning control of a learning controller to obtain a correction value, which is added to the first position deviation epsilon1 to obtain velocity command Vc. The second position deviation is the sum of the displacement epsilon1 of the driven element from the commanded position and the displacement Deltatheta of the machine effecting end relative to the driven element, and thus signifies a positional displacement of the machine effecting end from the commanded position. The second position deviation is subjected to the learning control so as to converge to ''0'', whereby the position of the driven element with respect to the machine effecting end becomes in accord with the command.

The present invention relates to a hearing aid logging data and learning from these data. The hearing aid (10, 100) comprises an input unit (12) converting an acoustic environment to an electric signal; an output unit (16) converting an processed electric signal to a sound pressure; a signal processing unit (14) interconnecting the input and output unit, and generating the processed electric signal from the electric signal according to a setting; a user interface (18) converting user interaction to a control signal thereby controlling the setting; and finally a memory unit (20) comprising a control section storing a set of control parameters associated with the acoustic environment, and a data logger section receiving data from the input unit (12), the signal processing unit (14), and the user interface (18); and wherein said signal processing unit (14) configures the setting according to the set of control parameters and comprises a learning controller adapted to adjust the set of control parameters according to the data in the data logging section.