The disclosure relates to a method and device for predicting a physical parameter based on input physical information, and medium. The method may include predicting, by a processor, an intermediate variable based on the input physical information with an intermediate sub-model, which incorporates a constraint on the intermediate variable according to prior information of the physical parameter. The method may also include transforming, by the processor, the intermediate variable predicted by the intermediate sub-model to the physical parameter with a transformation sub-model.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an exosuit activity transition control structure. In some implementations, sensor data representing an estimate of sensor data that will be produced by sensors of an exosuit at a particular time in the future is generated, where the exosuit is configured to assist mobility of a wearer. Actual sensor data that is generated using the sensors of the exosuit is obtained. A measure of uncertainty is determined based on the forecasted sensor data and the actual sensor data. Based on the measure of uncertainty, a control action for the exosuit to adjust an assistance provided to the wearer is determined.

A system comprising one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising receiving a request for a rating for a device of building equipment, the request for the rating including a plurality of attributes characterizing the device of building equipment including at least a first device characteristic, selecting, from a plurality of rating engines, a first rating engine for use in generating the rating based on the plurality of attributes characterizing the device of building equipment, communicating the first device characteristic to the first rating engine, receiving a first rating for the device of building equipment from the first rating engine, and using the first rating to at least one of generate a predictive model for the device of building equipment or control the device of building equipment.

A method for recording data relating to the performance of an oil and gas flow network uses statistical data to represent raw data in a compact form. Categories are assigned to time intervals in the data. The method comprises: (1) gathering data covering a period of time, wherein the data relates to the status of one or more control point(s) within the flow network and to one or more flow parameter(s) of interest in one or more flow path(s) of the flow network; (2) identifying multiple time intervals in the data during which the control points and the flow parameter(s) can be designated as being in a category selected from multiple categories; (3) assigning a selected category of the multiple categories to each one of the multiple datasets that are framed by the multiple time intervals; and (4) extracting statistical data representative of some or all of the datasets identified in step (2) to thereby represent the original data from step (1) in a compact form including details of the category assigned to each time interval in step (3).

The present disclosure generally relates to the field of model-based quality prediction of a chemical compound-and/or of a formulation thereof as the outcome of a production process comprising more than one sub-process. It further relates to a solution for root cause analysis of variations of one or more quality attributes of said product or formulation thereof.

An air handling unit (AHU) or rooftop unit (RTU) or other building device in a building includes one or more powered components and is used with a battery, and a predictive controller The battery is configured to store electric energy and discharge the stored electric energy for use in powering the powered components. The predictive controller is configured to optimize a predictive cost function to determine an optimal amount of electric energy to purchase from an energy grid and an optimal amount of electric energy to store in the battery or discharge from the battery for use in powering the powered components at each time step of an optimization period.

A prediction of an electric power consumption and/or a generation of at least one of a load and a source coupled to an electric power grid is generated responsive to a forecast of an event. A desired state of an asset on the grid is identified responsive to the prediction. A functional representation of a control scheme for the asset is identified based on a sensitivity of the control parameter to a variance in operation of the electric power grid with respect to the prediction.

A control device includes a control component that performs model predictive control for each control period using a dynamics model representing a relationship between a manipulated variable and the position of a controlled object to generate a manipulated variable to be output to the servo driver. The dynamics model includes a first dynamics model representing a relationship between the manipulated variable and a position of a servomotor, and a second dynamics model representing a relationship between the position of the servomotor and the position of the controlled object. The second dynamics model is created using a waveform parameter extracted from a vibration waveform of the controlled object. The waveform parameter includes a vibration frequency.

A control device is configured to cause an output of a target device to be servo-controlled to follow a predetermined command in a predetermined working coordinate system. The control device includes: a target model controller that possesses a target model in which the target device is modeled based on the predetermined working coordinate system and simulates and outputs an output according to the predetermined working coordinate system by using the target model; a model predictive controller that possesses a predictive model in which a correlation between a predetermined state variable that is related to the target model possessed by the target model controller and based on the predetermined working coordinate system and a control input to the target model controller is defined in a form of a predetermined state equation based on the predetermined working coordinate system; and a calculator that calculates a target command from the output of the target model controller, based on the predetermined working coordinate system for each control axis and in accordance with a geometric relationship of a machine structure of the target device. The control device supplies the target command to the target device. This configuration can perform the model predictive control to supply a target command for causing the output of the target device to appropriately follow a predetermined command.

A production specification determination method, a production method, and a production specification determination apparatus that can increase robustness against disturbances during production of a metal material are provided. Included are the steps of acquiring at least one piece of performance data established after a predetermined process during production of a metal material, performing back analysis based on the at least one piece of performance data and a prediction model that relates production specifications and material characteristics, and searching for production specifications for after the predetermined process such that an estimated value for the material characteristics asymptotically approaches a desired value.