Omron Corporation

Honda Giken Kogyo Kabushiki Kaisha

Yasuaki Abe

Nobuyuki Sakatani

Yuki Ueyama

Takashi Fujii

Kazuhiko Imatake

Shuji Inamoto

Taku Oya

Hiroyuki Yanagi

Takahiro Toku

Masanori Takahashi

Yoshiki Ito

Yuhki Ueyama

Toshihiko Sato

Yuki Taniyasu

Yoshitaka Watanabe

Haruo Oda

Kajio Asano

An acquisition unit () acquires an explanatory variable that is to be input to a model () configured to output an objective variable for the explanatory variable, a specification unit () associates a frequency at which an explanatory variable included in each of a plurality of areas, which are obtained by dividing an explanatory variable space, is acquired by the acquisition unit () with each of the plurality of areas, and specifies an area to which an explanatory variable included in learning data used to learn the model () belongs and in which a frequency of an explanatory variable acquired by the acquisition unit () is a predetermined value or less, and an update unit () updates the model () in such a manner that learning data including an explanatory variable belonging to an area specified by the specification unit () is forgotten.

Model update device, method, and program

The disclosure provides an additional learning device, an additional learning method, and a storage medium. The additional learning device includes: an acquisition unit acquires information based on data observed in a control object which is controlled by an instruction in accordance with an output from a previously learned model outputting an objective variable with respect to an explanatory variable. A determination unit determines whether or not the explanatory variable corresponding to the information acquired by the acquisition unit exists as learning data of the model, that is, whether or not the explanatory variable is unknown. When the explanatory variable is determined to be unknown by the determination unit, an additional learning unit acquires the objective variable corresponding to the unknown explanatory variable, correlates the unknown explanatory variable and the acquired objective variable, and additionally learns the model. The model is updated with regard to unknown disturbance events without requiring manpower.

Additional learning device, additional learning method, and storage medium

A learning assistance device according to the disclosure is designed to perform relearning for a processing part including a learning device that has already undergone learning for performing a prescribed output from a prescribed input, the learning assistance device including: an assessment part for assessing an anomaly of the input on the basis of a prescribed reference; and a relearning part for, if the assessment part has assessed that the input is anomalous, carrying out relearning of the learner under a prescribed condition using the anomalous input as additional learning data.

Learning assistance device, processing system, learning assistance method, and storage medium

This learning device provides a learned model to an adjuster including the learned model learned to output a predetermined compensation amount to a controller based on parameters of an object to be processed, in a system including the controller outputting a command value obtained by compensating a target value based on a compensation amount; and a control object performing a predetermined process on the object and outputting a control variable as a response to the command value. The learning device includes: a learning part generating candidate compensation amounts based on operation data including a target value, command value and control variable, learning with the generated candidate compensation amounts and the parameters of the object as teacher data, and generating or updating the learned model; and a setting part providing, to the adjuster, the generated or updated learned model.

Learning device, learning method, and program therefor for shorten time in generating appropriate teacher data

A prediction control development device according to one aspect of the present invention generates a prediction model of a control amount by analyzing first time-series data of the control amount and provides the generated prediction model to a controller. The prediction control development device acquires second time-series data showing transition of a value of the control amount during prediction control using the prediction model, and evaluates prediction accuracy of the prediction model based on a difference between a prediction value by the prediction model and a value of the second time-series data. When the prediction accuracy of the prediction model is not allowable, the prediction control development device analyzes the second time-series data to newly generate a prediction model of the control amount, and provides the newly generated prediction model to the controller.

Prediction control development device, prediction control development method, and computer readable storage medium

An objective of the present invention is to provide a control device, control system, control method, and computer-readable storage medium, for enabling verification of the reliability of operation machine control. Provided is a control device comprising: a control part comprising a controller for outputting output data with regard to input data, said control part serving to control an operation machine using the controller; an acquisition part for acquiring attribute information including statistics of previously obtained input data and output data; and an evaluation part for, on the basis of a comparison of the attribute information with new input data being newly inputted into the controller and/or new output data being newly outputted from the controller with regard to the new input data, evaluating to what extent the new input data and/or the new output data deviate from the statistics.

Control device, control system, control method, and computer-readable storage medium

The present invention reduces the probability of malfunction occurrence when performing predictive control of a device being controlled. In this control device of one aspect of the present invention, a prediction model for a control variable is used to calculate a prediction value from a measured value of the control variable, and a desired command value of the control variable is determined by correcting a desired basic value in accordance with the calculated prediction value. The degree of correction is determined on the basis of weight. The control device controls the operation of the device being controlled according to the determined desired command value. The control device assesses whether the device being controlled is operated appropriately on the basis of monitoring data relating to the operation result of the device being controlled, and optimizes the weight of the correction to make appropriate control possible based on the assessment result.

Control device, control method, and control program

A control device executes a step of starting a computation processing of a prediction model; a step of computing a remaining processing time until the computation processing is completed after starting the computation processing of the prediction model; a step of determining whether the determination of the command value based on an output obtained from the prediction model is made within a control timing for controlling the operation of manufacturing by the manufacturing device, on the basis of a computed remaining processing time; and a step of stopping, when it is determined that the determination of the command value is not made within the control timing, the computation processing of the prediction model, determining the command value on the basis of a value of an intermediate result of the computation processing, and controlling the operation of the manufacturing device on the basis of the determined command value.

Control device, control method, and non-transitory computer-readable recording medium

A control system estimates a numerical value range within which a command value can fall from a distribution of second data relating to the command value in a learning data set used to construct a prediction model, and in such a manner that a first acceptable range prescribed by a preset first threshold value with respect to a command value for a subject device is extended, decides a second threshold value with respect to the command value for the subject device on the basis of the estimated numerical value range. Further, in an operational phase, on the basis of an output value from the prediction model, the control system decides a command value for the subject device within a second acceptable range prescribed by the decided second threshold value, and controls an operation of the subject device on the basis of the decided command value.

Control system, control method, learning device, control device, learning method for controlling an operation of a subject device on basis of a detemined command value

This learning device provides a learned model to an adjuster containing a learned model learned to output a predetermined compensation amount to a controller, in a control system including the controller outputting a command value obtained by compensating a target value based on a compensation amount and a control object controlled to process an object to be processed. The learning device includes: an evaluation part obtaining operation data including the target value, command value and control variable and evaluates the quality of the control variable; a learning part generating candidate compensation amounts based on the operation data, and learning, as teacher data, the generated candidate compensation amount and the specific parameter of the object, and generating a learned model; and a setting part providing the learned model to the adjuster if the evaluated quality is within an allowable range.

Learning device, learning method, and program therefor

An actuator control system includes: a transmission control unit configured to transmit final data, which is a final result of the computation by a sensor output computation unit, and to transmit intermediate data before transmitting the final data; and a command value computation unit configured to compute a command value for driving an actuator, based on the intermediate data and the final data transmitted by the transmission control unit.

Actuator control system, actuator control method, information processing program, and storage medium

A controller performs a control operation associated with a control target. The controller includes a communication interface that electrically connects at least one function unit to the controller through a data transmission path, a writing unit that writes an observation value obtained through the function unit into a database, and a delay obtaining unit that obtains a delay time taken from when a signal indicating an observation value is input into the function unit to when data representing the observation value becomes usable in the controller, and stores information indicating the obtained delay time.

Controller, control program, and control system

A controller includes a control operation unit that cyclically performs a control operation for controlling a control target, a data generator that generates data showing a chronological change in a value associated with a control target, and an analyzer that analyzes the data and outputs an analysis result in a predetermined analysis target period. The analysis target period includes a plurality of sections. The data generator sequentially outputs section data showing a chronological change in a value for each of the plurality of sections in the analysis target period. The analyzer analyzes the sequentially output section data for each section. When an analysis of section data for a section in the analysis target period shows a predefined result, the analyzer eliminates an analysis of section data for one or more sections in the analysis target period that are subsequent to the section for which the analysis shows the predefined result.

Controller, control program, control system, and control method

A work process management system includes at least one work device and a tag type individual controller that is directly or indirectly attached to a work object to control the work device. Each of the work device includes a work-device-side communicator, a work part, and a work-device-side control part. The tag type individual controller includes an individual-controller-side storage in which a work content of a work process performed with the work device is stored, an individual-controller-side communicator, and an individual-controller-side calculation controller that transmits the work content of the work process performed with the work device in which a performance result is reflected to the work-device-side communicator, and additionally stores the received performance result in the individual-controller-side storage.

Work process management system and tag type individual controller used therein

A work process management system includes at least one work device and an individual controller that is directly or indirectly attached to a work object to control the work device. Each of the work device includes a work-device-side storage, a work-device-side communicator, a work part, and a work-device-side control part. The individual controller includes an individual-controller-side storage in which a work content of a work process performed with the work device and associated setting information are stored, an individual-controller-side communicator, and an individual-controller-side calculation controller that transmits the work content of the work process performed with the work device and the associated setting information in which a performance result is reflected to the work-device-side communicator, and additionally store the received performance result in the individual-controller-side storage.

Growing community of inventors

Ibaraki, Japan

Yasuaki Abe