Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to the wireless protocol in the RF wireless domain. A computing device may be trained to generate coefficient data based on the operations of a wireless transceiver such that mixing input data using the coefficient data generates an approximation of the output data, as if it were processed by the wireless transceiver. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a specific processing mode selection. The processing mode selection may include a single processing mode, a multi-processing mode, or a full processing mode. The processing mode selection may be associated with an aspect of a wireless protocol. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

Abstract: A system and method enabling two-way interactive operations of real-time 3D virtual replicas and real objects are described. The system includes a persistent virtual world system comprising a data structure in which at least one real-time 3D virtual replica of a real object is represented, which is stored and computed on a server; at least one corresponding real objects connected to the real-time 3D virtual replica via a network through the persistent virtual world system stored and computed on the server: and at least one user device connected to the real object via the network through the virtual world system stored and computed on the server. Virtually selecting and thereafter effecting changes on the real-time 3D virtual replica results in a real-time corresponding effect on the real object. Likewise, effecting one or more changes on the real object results in a real-time corresponding effect on the real-time 3D virtual replica.

Abstract: A method to identify physical parameters of a mechanical load with integrated reliability indication includes: applying a first control signal to a mechanical device in a control circuit; measuring a first return signal; and using a power density spectrum of the first return signal to stipulate an excitation signal for the mechanical device.

Abstract: Technologies for providing inter-kernel communication application programming interfaces (API) include an orchestrator device comprising circuitry to receive a request to allocate one or more accelerator resources to a given workload. The circuitry is also configured to identify one or more kernel bit streams in the accelerator resources used to perform the workload. The circuitry is configured to determine, from the identified one or more kernel bit streams, an inter-kernel communication topology and configure the identified one or more kernel bit streams according to the inter-kernel communication topology.

Abstract: A control system for controlling an operation of a system with continuous-time nonlinear dynamics subject to constraints including equality and inequality constraints on state and control variables of the system, including an estimator to estimate a current state of the system using measurements of the operation of the system and a controller to iteratively solve, at each control time step, an approximation of a constrained nonlinear optimization problem to produce a control solution, wherein the approximation includes a linearization of the nonlinear dynamics of the system discretized by time intervals in the control horizon and represented using an approximation of the constraint Jacobian matrix for each time interval of the control horizon.

Abstract: A system and method is taught for data processing in an autonomous vehicle control system. Using information is acquired from the vehicle, network interface, and sensors mounted on the vehicle, the system can perceive situations around it with much less complexity in computation without losing crucial details, and then make navigation and control decisions. The system and method are operative to generate situation aware events, store them, and recall to predict situations for autonomous driving.

Abstract: An embodiment of a graphics apparatus may include a tile candidate identifier to determine if a compute kernel is a tile candidate, and a compute kernel tiler communicatively coupled to the tile candidate identifier to tile the compute kernel if the compute kernel is determined to be a tile candidate. Other embodiments are disclosed and claimed.

Abstract: A control method is provided for using a feed forward technique. The method includes, but is not limited to using a setpoint value of a controlled variable to calculate a compensation of the closed loop static error, summing said contribution to the setpoint value, operating an estimation of the closed loop error to obtain a feed forward contribution.

Abstract: Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a specific processing mode selection. The processing mode selection may include a single processing mode, a multi-processing mode, or a full processing mode. The processing mode selection may be associated with an aspect of a wireless protocol. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.

Abstract: A switching power control circuit includes an analog-to-digital converter (ADC) configured to convert an analog direct current (DC) voltage into a digital voltage; a digital compensator configured to set a gain and phase characteristics of the digital voltage output from the ADC and output a digital compensation value; and a pulse generating circuit configured to generate at least one driving signal based on the digital compensation value, wherein the pulse generating circuit is switched by an ON/OFF signal for turning on or off an output of the driving signal from the pulse generating circuit and a control scheme selection signal for selecting a predetermined driving signal from the driving signal.

Abstract: A therapeutic laser with a source of pulsed electromagnetic radiation, a control device for controlling the intensity and/or the duration of the therapeutic laser applied to the tissue, and a detection device for detecting optoacoustic signals triggered by irradiating the living tissue with the pulsed electromagnetic radiation. The therapeutic laser is characterized by an evaluation device that acts on the control device and is used for calculating a degree of quality B(t) from the optoacoustic signals detected by the detection device for individual laser pulses applied to a predetermined laser spot and determining a fit function f(t) at a predetermined point in time ?t1, the fit function f(t) approximating the mean curve of B(t) for 0?t??t1. The intensity and/or the irradiation time of the therapeutic laser is defined by the parameters for the predetermined laser spot, the parameters being determined for the fit function f(t).

Abstract: A multi-dimensional energy control system is provided with an energy management software application that organizes the consumption of energy by a device as an n-dimensional energy space, where n is an integer greater than 2, and each axis in the energy space represents an energy consumption characteristic. The energy management application generates instructions for a device in response to calculating a compromise operating point in the energy space. A user interface (UI) connected to the energy management application has a display to receive a graphical representation of the energy space and compromise operating point, and an input to receive user commands for moving the represented compromise operating point in the represented energy space. The energy management application calculates the compromise operating point in the energy space to match the displayed compromise operating point.

Abstract: A method for recognizing unintended drive train responses of a motor vehicle includes at least one drive unit, in which at least one input variable of the motor vehicle and/or of the drive unit is input into the drive train, and at least one output variable is measured at the motor vehicle and/or the drive unit. In order to recognize an unintended drive train response early, the at least one input variable is supplied to a dynamic model which at least partially simulates the drive train of the motor vehicle, the dynamic model determining, based on the at least one input variable, at least one model output variable which is compared to the at least one measured output variable, and an unintended drive train response being deduced if there is a difference between the measured output variable and the model output variable.

Abstract: A method for detecting a mechanical overload condition of an energized linear actuator to prevent commanding an activation signal to the linear actuator that may mechanically overload the linear actuator includes monitoring feedback variation of a movable element associated with the linear actuator including monitoring a present feedback signal of the movable element, monitoring a previous feedback signal of the movable element, comparing the present feedback signal and the previous feedback signal and determining the feedback variation based on the comparing. The feedback variation is compared to a feedback variation threshold. An input signal associated with the activation signal for controlling the linear actuator is monitored and the input signal compared to an input signal threshold. The electrical overload condition is detected when the feedback variation is less than the feedback variation threshold and the input signal is greater than the input signal threshold.

Abstract: A controlling device includes an upper limit elapsed time measuring portion measuring an elapsed time TH after updating of a manipulated variable upper limit value OH1 through communication, a lower limit elapsed time measuring portion measuring an elapsed time TL after updating of a manipulated variable lower limit value OL1 through communication, an upper limit automatic reset portion storing, as a new manipulated variable upper limit value OH1, a manipulated variable upper limit value OH2 when the elapsed time TH has arrived at a specified time TR, and a lower limit automatic reset portion storing, as a new manipulated variable lower limit value OL1, a manipulated variable lower limit value OL2 when the elapsed time TL has arrived at the specified time TR.

Abstract: A synchronous control apparatus capable of switching cam curves with ease and without delay is provided. A cam curve storing unit stores a representation of a first cam curve and a representation of a second cam curve. Before switch-over of the cam curves, a control unit finds a position command value to a driven-side member, after the switch-over of the cam curves, the control unit finds the position command value, and in a switch-over period of the cam curves, the control unit finds the position command value to the driven-side member based on a value obtained by utilizing first data based on the first cam curve or a position of the driven shaft and second data based on the second cam curve to provide a weighted average at each control timing.

Abstract: The present invention provides novel techniques for graphically modeling, displaying, and interacting with parametric hybrid models used to optimize and control components of industrial plants and enterprises. In particular, a graphical modeling tool of a control/optimization system for controlling a plant or enterprise is configured to transmit a graphical user interface to a user, wherein the graphical user interface enables a plurality of command inputs relating to a plurality of parametric hybrid models based on a security access level of the user. The parametric hybrid models may be displayed by the graphical user interface as nodes of a network with connections connecting the nodes. The user may graphically manipulate the nodes and connections associated with the parametric hybrids models to either modify optimization constraints of the model network, or actually modify the manner in which the parametric hybrid models function (e.g.

Abstract: A method and system for controlling a temperature of an exhaust gas being introduced to a catalyst is provided. Using an adjustable flow controller, an adjustable amount of tempering fluid is provided to the exhaust gas prior to the exhaust gas proceeding to the catalyst. A sensor senses a parameter indicative of a temperature of the exhaust gas being introduced to the catalyst. A computer processor uses a relationship to relate the parameter to an adjustment of the adjustable flow controller that will adjust the amount of tempering fluid provided to the exhaust gas and change the temperature of the exhaust gas being introduced to the catalyst toward a target temperature. Adjustment of the adjustable flow controller is initiated by the computer processor to change the flow of the tempering fluid, and the relationship between the parameter and the adjustment of the adjustable flow controller is updated.

Abstract: A multi-dimensional energy control system is provided with an energy management software application that organizes the consumption of energy by a device as an n-dimensional energy space, where n is an integer greater than 2, and each axis in the energy space represents an energy consumption characteristic. The energy management application generates instructions for a device in response to calculating a compromise operating point in the energy space. A user interface (UI) connected to the energy management application has a display to receive a graphical representation of the energy space and compromise operating point, and an input to receive user commands for moving the represented compromise operating point in the represented energy space. The energy management application calculates the compromise operating point in the energy space to match the displayed compromise operating point.

Abstract: An extremum seeking control method optimizes a control process for a plant such as an air handling unit. The method compensates for abrupt changes in the operation of the plant by resetting the extremum seeking control strategy in response to a detection of the abrupt change.

Abstract: In some embodiments, a method of using feedforward to control a system component may include determining if a feedforward term exists in a feedforward table for a received operating set point. If a feedforward term does not exist, the system component may be incremented until the system is within a first acceptable tolerance of the desired set point. In some embodiments, a measure of steady state error may be determined and compared to a second acceptable tolerance. If within the acceptable tolerance, the corresponding feedforward term may be recorded in the feedforward table. In some embodiments, if the feedforward term exists for the operating set point, the system component may be controlled using controller output that corresponds to the feedforward term. When a change to the system is detected that is associated with possible changes to the feedforward values, new feedforward values may be generated for the feedforward table.

Abstract: A computer-implemented initial run module processes manifest variable data using computer-defined model specification parameters stored in a database to provide initial estimates of weights that are associated with latent variables. The initial run module employs a unique value-based weighting partial least squares computer-implemented process. A final run module then operates upon the manifest variable data to determine the importance of the predictor values that are then used to control the industrial, manufacturing or commercial process. The final run module implements a unique patient partial least squares regression model utilizing a boosting learning technique.

Abstract: A method includes identifying an initial solution to a quadratic programming (QP) problem associated with a process. The method also includes performing an iterative procedure having one or more iterations. Each iteration includes determining whether any constraint associated with the process is violated in the solution. Each iteration also includes selecting a violated constraint, determining a step direction and a step length associated with the selected violated constraint, and updating the solution based on the step direction and the step length. Determining the step direction and the step length includes using a Schur complement based on an active set of constraints associated with the solution. The Schur complement is nonsingular during all iterations of the iterative procedure except when the active set is empty.

Abstract: Described are computer-implemented methods and apparatuses, including computer program products, for estimating an optimal value for each input factor of a design space. The design space is defined by the input factors and output responses for a physical process. The optimal values for the input factors represent a starting point for estimating the design space. Data is received for the input factors, the output responses and criteria. An initial design space is estimated based on the received data. The optimal values for the input factors are determined from the initial design space.

Abstract: In a clinical laboratory of a hospital, an enormous amount of effort has been required to maintain the quality of an analyzer, standard solution and control samples. An object of the present invention is to provide a control method for controlling a clinical laboratory with reduced cost, and a control apparatus using the same. In order to control data of an analyzer, standard solution, and a control sample, a support center is connected to each analyzer located in each hospital through a network line. Various kinds of analysis parameters and the result of measurements are exchanged so as to provide each clinical laboratory with a control situation in real time.

Abstract: A control unit of a system stabilization device uses a fluctuation detection block (60) to determine fluctuation components included in the active component and reactive component currents of a system current and fluctuation components included in the frequency signal and the amplitude signal of a system voltage. The high frequency cut-off of the fluctuation detection block (60) is set to be f1; the low frequency cut-off is set to be f2. The fluctuation detection block (60) is composed of a low-pass filter (61) with a time constant of T1, a low-pass filter (62) with a time constant of T2, a subtracter (63) which outputs the difference, between the output signals of the filter (61) and the filter (62), and a feedback circuit (64) which provides feedback on the output of the subtracter (63) to the filters (61, 62). Thus, stability is ensured without using a current detector.

Abstract: A method, system, apparatus, and media are directed to tuning a device. Values are stored for each of a plurality of device parameters based on device metrics. The device parameters are constraint-matched over changes to settings of the device parameters to identify at least one point within each range of the device parameters that optimizes a performance measure for the device. Tuning values are selected for each device parameter based on the identified point. The tuning values are provided for tuning the device. The device is tuned with roll-back based on the running values.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for automated predictive design space estimation. A design space of input factors and output responses is estimated for a physical process. Data is received for one or more input factors for a physical process, one or more output responses for the process, and criteria. For each of the one or more input factors, a calculated range of input values within the corresponding experimented range of input values is calculated. A modified range of input values is calculated for each of the one or more input factors. A design space estimate is predicted based at least on the modified ranges of input values, wherein the modified ranges of input values each comprise a largest region of variability for one or more of the input factors where the criteria are fulfilled.

Abstract: An uninterruptible power supply is able to switch an operation mode between an on-line operation method and an off-line operation method for a wider range of commercial power supplies.

Abstract: A wind farm with plural wind turbines which are connectible to a farm grid that is in turn connectible to an electricity supply mains via a connection point, wherein the wind farm features the following: a central control system, which determines a correction value for a local desired value for one or plural wind turbines by way of a first regulator, depending on an actual value of an electric variable before or after the connection point, and a turbine control for at least one wind turbine, which determines a local desired value for an electric variable to be generated by the wind turbine by way of a second regulator, depending on an actual value of an electric variable measured in the farm grid, wherein the turbine control determines the sum of the local desired value and the correction value as the total desired value for the electric variable of the wind turbine to be generated.

Abstract: One method includes obtaining a preliminary model associated with a system to be controlled and constructing a weighted model using one or more weighting factors. The method also includes identifying a final model of the system using the preliminary and weighted models, where the final model has a stability margin that is greater than an uncertainty associated with the final model. The method further includes controlling the system using a controller designed based on the final model. Another method includes identifying a first model associated with a system to be controlled, performing model order reduction to identify a second model, and controlling the system using a controller designed based on the second model. Performing the model order reduction includes reducing a weighted coprime factor model uncertainty between the first and second models.

Abstract: A medical apparatus comprises a control system allowing storage of a number of shaping profiles. Each shaping profile is stored as a plurality of pairs, including a shaping profile reference value and a time interval value. The reference value is represented as fraction, for instance a percentage, of the total weight loss the apparatus should achieve at the end of a treatment time. Each time interval value is represented either as fraction of the total treatment time or as a prefixed actual time interval. The control system calculates the actual weight loss rate versus time profile based on the desired total weight loss, on the desired total treatment time as well as on selected desired shaping profile.

Abstract: In a field device for process automation, a reprogammable logic device is used, in order to achieve a high flexibility as regards hardware components.

Abstract: The plant control system has a measurement signal data database, a model to estimate the value of measurement signal data used at a time when an operation signal is given to the plant, and an operation signal learning unit to learn a method of generating a model input, which is equivalent to an operation signal, so that a model output, which is equivalent to the measurement signal data, attains a target value. The plant control system also has an evaluation function calculating unit to calculate an evaluation function value from the model output obtained as a result of an operation carried out by the operation signal learning unit for the model, and an evaluation function adjusting unit to adjust evaluation function parameters used in calculation of an evaluation function.

Abstract: An extremum seeking control method optimizes a control process for a plant such as an air handling unit. The method compensates for abrupt changes in the operation of the plant by resetting the extremum seeking control strategy in response to a detection of the abrupt change.

Abstract: The method for generating an integrated guidance law for aerodynamic missiles uses a strength Pareto evolutionary algorithm (SPEA)-based approach for generating an integrated fuzzy guidance law, which includes three separate fuzzy controllers. Each of these fuzzy controllers is activated in a unique region of missile interception. The distribution of membership functions and the associated rules are obtained by solving a nonlinear constrained multi-objective optimization problem in which final time, energy consumption, and miss distance are treated as competing objectives. A Tabu search is utilized to build a library of initial feasible solutions for the multi-objective optimization algorithm. Additionally, a hierarchical clustering technique is utilized to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. A fuzzy-based system is employed to extract the best compromise solution over the trade-off curve.

Abstract: Adapting move constraints for position based moves in a trajectory generator. Specification of a trajectory may be received. The specification may include a geometry of the trajectory, where the geometry specifies a desired trajectory length. A plurality of constraints for the trajectory may be received. The plurality of constraints may include one or more of a velocity, acceleration, or jerk constraint. A motion control profile may be generated based on the plurality of constraints. The method may include determining if a distance of the motion control profile exceeds the desired trajectory length. If the distance of the motion control profile exceeds the desired trajectory length, one or more values of the plurality of constraints may be decreased to make the distance of the motion control profile less than or equal to the desired trajectory length.

Abstract: One or more techniques are provided for the sharing of variable trajectories between multiple controllers in a control system. In general, the present technique is based upon the sharing of predicted desired variable trajectories between multiple controllers requiring a common input variable. In one embodiment, a common input variable is shared between two controllers, wherein one controller is tuned to have dominant control with regard to the shared variable. Each controller determines and communicates their own desired trajectory for the shared variable to the other controller and in doing so, the constraints associated with each controller are shared and honored by the other controller. Based on the communicated trajectories, the dominant controller may exercise control over the shared variable, thus improving overall process control.

Abstract: A control apparatus that can partially identify model parameters is provided. The apparatus for controlling an object that is modeled using at least one first model parameter and at least one second model parameter comprises a partial model parameter identifier for recursively identifying the second model parameter based on an output from the object and an input into the object, and a controller for using the first model parameter that is pre-identified and the second model parameter identified by the partial model parameter identifier to determine an input into the controller so that the output from the object converges to a desired value. Since all model parameters are not required to be recursively identified, the time for causing the model parameters to converge to optimal values can be shortened. The computational complexity for the identifier can be reduced.

Abstract: A system for collecting frequency response data from a generator system including: applying a perturbing signal to a signal input of an exciter system for a synchronous generator; collecting data regarding signal output from a multiplicity of signal points in the exciter system; transforming the collected data to predict a signal response at a signal output in the system different from the signal points used for collecting data, and analyzing the frequency response of the system.

Abstract: A system and method of modeling, prediction, optimization and controlling an embedded alarm control having a plurality of independently controlled, manipulated variables, at least one controlled variables and one or more disturbance variables. The method includes determining simultaneously a set number of dynamic moves of the manipulated variables along with steady state values of the manipulated and controlled variables with steady state constraints relating to the manipulated and controlled variables as well as dynamic constraints relating to the manipulated and controlled variables including relating to the disturbance variables. Embedding alarm controls in the simultaneous dynamic control and steady state optimization with varying type of alarming situations and aiding operator in recovery actions.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for automated predictive design space estimation. A design space of input factors and output responses is estimated for a physical process. Data is received for one or more input factors for a physical process, one or more output responses for the process, and criteria. For each of the one or more input factors, a calculated range of input values within the corresponding experimented range of input values is calculated. A modified range of input values is calculated for each of the one or more input factors. A design space estimate is predicted based at least on the modified ranges of input values, wherein the modified ranges of input values each comprise a largest region of variability for one or more of the input factors where the criteria are fulfilled.

Abstract: A method of estimating a basepoint includes receiving a plurality of goals, wherein each goal has a desired value, and receiving a plurality of sensor feedback signals from a controlled system. A plurality of predicted output values of the controlled system are received from a mathematical model. A desired change for a plurality of basepoint values is estimated in response to the goals, the feedback, and the predicted output values. An actual change in basepoint values is calculated in response to a plurality of limits and the desired change for the plurality of basepoint values according to a plurality of goal weights while holding limits. The actual change in basepoint values is combined with last pass values of the plurality of basepoint values to produce an updated basepoint estimate.

Abstract: A method of estimating a basepoint includes a plurality of goals, wherein each goal has a desired value, receiving a plurality of sensor feedback signals from a controlled system, and receiving a plurality of predicted output values of the controlled system from a mathematical model. A desired change for a plurality of basepoint values is estimated in response to the goals, the feedback, and the predicted ooutput values. An actual change in basepoint values is calculated in response to a plurality of limits and the desired change for the plurality of basepoint values. The desired change is modified as necessary to hold the limits. The actual change in basepoint values is combined with last pass values of the plurality of basepoint values to produce an updated basepoint estimate.

Abstract: A medical apparatus comprises a control system allowing storage of a number of shaping profiles. Each shaping profile is stored as a plurality of pairs, including a shaping profile reference value and a time interval value. The reference value is represented as fraction, for instance a percentage, of the total weight loss the apparatus should achieve at the end of a treatment time. Each time interval value is represented either as fraction of the total treatment time or as a prefixed actual time interval. The control system calculates the actual weight loss rate versus time profile based on the desired total weight loss, on the desired total treatment time as well as on selected desired shaping profile.

Abstract: A target-travel-path generating circuit calculates a target travel path along which the controlled object can travel in the future from the current controlled object position, an ideal-control-signal calculating circuit calculates a control profile ? to travel along the target travel path P, and a difference calculating circuit calculates a difference ? between the ideal control magnitude ? and a current control magnitude ?. An operation system assistance controller controls the operation system based on the magnitude of the calculated difference ? to assist the control operation of the operator, the control-operation-state of the operator, the environment-state, and the required operation-precision.

Abstract: An arrangement for controlling a system generated noise level such that the same is adapted to an actual ambient noise level of the system environment. Internal noise generators will thus not run at a needlessly lowered rate than actually needed. For instance, by permitting a fan to run at a generally higher speed, the system will not needlessly undergo significant internal temperature increases. By the same token, CPU performance, to the extent that it represents a noise generator, will not be needlessly throttled.

Abstract: In a position control device having a disturbance suppression function, loop gain is calibrated without stopping disturbance suppression control. The position control device has, for disturbance suppression control, a feedback controller for changing the loop characteristic, a table for storing a target gain according to a disturbance frequency, and a gain calibration section for calibrating open loop gain. The gain is calibrated using a target gain in the table according to the change of the loop characteristic of the feedback controller. Open loop gain can be calibrated without interrupting the disturbance suppression control, so the open loop gain can be accurately calibrated without being affected by disturbance, and accurate position control is possible.

Abstract: The solution from a multivariable predictive controller (MPC) is analyzed and described by providing quantitative input to operators regarding the effect of changing controller limits on the MPC controller solution. This information allows a rapid operator response to changes and more optimal process operation.