Abstract: Systems and methods of analyzing the performance of a conservation system for improving the performance of an electrical power delivery system are disclosed. In one implementation, the system receives first observation information indicative of the performance of the conservation system in a first mode, and second observation information indicative of the performance of the conservation system in a second mode. The system generates a first model of the performance of the conservation system in the first mode based on the first observation information, and a second model of the performance of the conservation system in the second mode based on the second observation information. The system determines first controlled performance information indicative of the performance of the conservation system in the first mode based on the first model, and second controlled performance information indicative of the performance of the conservation system in the second mode based on the second model.

Abstract: The present invention provides novel techniques for optimizing and controlling production plants using parametric multifaceted models. In particular, the parametric multifaceted models may be configured to convert a first set of parameters (e.g., control parameters) relating to a production plant into a second set of parameters (e.g., optimization parameters) relating to the production plant. In general, the first set of parameters will be different than the second set of parameters. For example, the first set of parameters may be indicative of low-level, real-time control parameters and the second set of parameters may be indicative of high-level, economic parameters. Utilizing appropriate parameterization may allow the parametric multifaceted models to deliver an appropriate level of detail of the production plant within a reasonable amount of time.

Abstract: A model predictive control (MPC) framework is enhanced to provide prognostic information and fault tolerant control strategies. A system fault is calculated based on predicted values and is used to generate an internal reference trajectory to which the system is controlled using MPC. If the system fault exceeds a threshold maximum, then the MPC control model is either tuned or reconfigured depending on whether the fault is external or internal.

Abstract: An approach for modeling parallel working units of a system for advanced process control. The approach may be a systematic solution based on structured model order reduction. Two phases of it may incorporate model identification and model combination. The first phase is where a model of each parallel unit and a model of the remaining system without any unit may be obtained. The second phase is where the models may be combined to obtain a model of the whole system for any configuration needed by the advanced process control. The model of the whole system may be subjected to a structured model reduction to obtain a reduced order model for the advanced process control.

Abstract: Systems and methods are provided for generating a constraint-based, time-optimal motion profile for controlling the trajectory of a point-to-point move in a motion control system. A profile generator can calculate an ST-curve motion profile that includes a jerk reference that varies continuously over time for at least one of the motion profile segments, thereby producing a smooth, time-optimal trajectory. The profile generator can create the motion profile to conform to a set of motion constraints provided by the user. The profile generator also supports calculation of time-optimal motion profiles having segments that align to the sample time of the motion control system. In some embodiments, the profile generator can efficiently generate the motion profile by performing reference calculations only for those segments that will be used in the final motion profile for a given point-to-point move.

Abstract: A method of optimizing production of wells using choke control includes generating, for each well, an intermediate solution to optimize the production of each well. The generating includes using an offline model that includes a mixed-integer nonlinear program solver and includes using production curves based on a choke state and a given wellhead pressure. The method further includes calculating, using a network model and the intermediate solution of each well, a current online wellhead pressure for each well. The method further includes setting the intermediate solution as a final solution based on determining that a difference between the current online wellhead pressure of each well and a prior online wellhead pressure of each well is less than a tolerance amount. The method further includes adjusting, using the final solution of each well, at least one operating parameter of the wells.

Abstract: A method for determining the energy consumption of a production system includes a) determining a load profile of the production system via of a load calculating device, b) estimating an energy requirement of the production system based on the determined load profile and an electromechanical model of the production system via an energy calculating device, c) determining an energy model of the production system based on the estimated energy requirement, and d) determining the energy consumption of the production system via the load calculating device depending on the energy model and a load transported via the production system.

Abstract: The invention discloses an identification method of nonlinear parameter varying models (NPV) and belongs to the industrial identification field. The invention carries out identification tests and model identification for an identified object with nonlinear parameter varying characteristics. Firstly, the multi-input single-output nonlinear parameter varying model is identified through the steps of local nonlinear model tests, local nonlinear models identification, and operating point variable transition tests; after completing the identification of all the multi-input single-output nonlinear parameter varying models with respect to all the controlled variables, the completed multi-input multi-output nonlinear parameter varying models are built. The nonlinear parameter varying models of an identified object can be obtained by the identification method of the present invention with limited input/output data without detailed mechanism knowledge of the identified object.

Abstract: A control system includes a clustered architecture having a master controller, a central control section including one or more first remote controllers under direct control of the master controller, and a distributed control section including a cluster controller controlled by the master controller. The cluster controller controls the activities of one or more second remote controllers. Each of the first and second remote controllers are utilized to drive one or more axes.

Abstract: Method, system and computer executable instructions for controlling a process that include collecting data sets for a process having an initial base layer DCV value and a corresponding initial ICV value, a rate-time value and a move series value, receiving a target ICV value and determining whether a change in DCV value is needed. The method checks for any DCV limits and implements a move series to the DCV setting. The rate-of-change of the ICV is calculated along with the estimated time needed to reach the target ICV value based on the rate-of-change. The time needed to reach the target ICV value is compared with the rate-time and the DCV move series is discontinued when the time needed to reach the target ICV value is less than a predetermined percentage of the rate-time value.

Abstract: A method for parametering a field device, wherein a field device has a parametering corresponding to a first device model and a first parameter set, wherein in the case, in which the field device is replaced by a substitute field device, a second parameter set corresponding to a second device model for parametering the substitute field device is transmitted to the substitute field device, wherein the second device model is derived from the first device model, and wherein the second device model and the second parameter set differ from the first device model and the first parameter set.

Abstract: This invention provides a system and method of Advanced Process Control for optimal operation of multi-unit plants in large scale processing and power generation industries. The invention framework includes the following components: continuous real time dynamic process simulation, automatic coefficient adjustment of dynamic and static process models, automatic construction of transfer functions, determination of globally optimal operating point specific to current conditions, provision of additional optimal operating scenarios through a variety of unit combinations, and calculation of operational forecasts in accordance with planned production.

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: The invention relates to automatically configuring of a lighting created by a lighting system, particularly to creating a lighting, which follows a person, with a networked lighting system. A basic idea of the invention is to adapt the learning based processing of activations of lamps and presence detectors received as input data to changes in a system for automatically configuring lighting with a variable adaptation rate in order to make the automatic lighting configuration more robust with regard to system changes.

Abstract: A computer-implemented system includes a plurality of metrological interface devices. Each metrological interface device is in communication with a metrological sensing device configured to detect metrological data from a physical asset. The computer-implemented system also includes a portable computing device. The portable computing device is configured to a) receive a metrological data set, the metrological data set substantially representing data associated with the physical asset at a point in time, b) process the metrological data set and an asset data model into a processed metrological data set, c) upon determining, based on the processed metrological data set, a metrological variance, recalibrating the asset data model and returning to step (a), and d) upon determining no metrological variance, reporting the metrological data set and the asset data model to at least one report recipient.

Abstract: The present disclosure relates to a process tool system that utilizes tool sensor data and an embedded or built-in tool model to facilitate semiconductor fabrication. The process tool system includes a sensor data component, the tool model, and an execution system. The sensor data component is configured to provide the tool sensor data. The tool model is built in a process tool and is configured to generate model outputs based on model inputs. The manufacturing execution system is configured to provide tool process data, including actual metrology and previous process data, to the sensor data component. Additionally, the execution system provides the model inputs to the tool model and receives the model outputs from the tool model. The execution system provides one or more execution system outputs based on the sensor data and the model outputs. The sensor data can include measured semiconductor device characteristics.

Abstract: A method and system for automatically generating simulations for a distributed control system is disclosed herein. A programmed process model generator automatically incorporates a variety of process model data from pre-defined model libraries into descriptions of process equipment including control devices to render simulation models of various degrees of fidelity.

Abstract: A system facilitates collaborative communications and information sharing in a network defined by a model. The model and a portion of the system are stored on a storage component coupled to a terminal. The system captures context information and user-defined data, the user-defined data provided during user interaction of the user in a first domain of the network, and dynamically stores the context information as metadata associated with the user-defined data, the user-defined data and the metadata stored on the storage component; a tracking component for tracking a change of the user from the first domain to a second domain of the network and dynamically updating the stored metadata based on the change, where the user accesses the user-defined data from the second domain; and an interface to the system that permits the user to create and view the user-defined data according to the model of the network.

Abstract: The invention provides a method for optimizing energy usage in commercial buildings. Energy consumption data is used, along with occupant data, to determine appropriate adjustments in energy, and for ongoing monitoring and reporting of energy savings. According to the inventive method, the building of interest is characterized, including calculation of lag parameters—temperature lag, solar gain lag, solar strength lag, and, in some instances, humidity lag, which inform a thermal energy equation particular to the building of interest. Mechanical heating lag and mechanical cooling lag are used for on-going energy use optimization. An outside temperature index may also be used. The resulting accuracy of the thermal energy equation is over 90% for both heat and chilling input, once the building has been optimized according to the inventive method.

Abstract: A method includes parsing configuration data of multiple applications associated with an industrial process control and automation system. The method also includes generating first models associated with the applications based on the parsed configuration data. The method further includes identifying relationships between the first models to thereby identify relationships between information associated with the applications. In addition, the method includes generating a second model based on the identified relationships, where the second model identifies the relationships between the information associated with the applications. Parsing the configuration data could include identifying input and output variables associated with each application. The first models could include input-output models mapping the input variables versus the output variables of the applications.

Abstract: A machine vision system program editing environment includes near real time context generation. Rather than requiring execution of all preceding instructions of a part program in order to generate a realistic context for subsequent edits, surrogate data operations using previously saved data replace execution of certain sets of instructions. The surrogate data may be saved during the actual execution of operations that are recorded in a part program. An edit mode of execution substitutes that data as a surrogate for executing the operations that would otherwise generate that data. Significant time savings may be achieved for context generation, such that editing occurs within an operating context which may be repeatedly refreshed for accuracy in near real time. This supports convenient program modification by relatively unskilled users, using the native user interface of the machine vision system, rather than difficult to use text-based or graphical object-based editing environments.

Abstract: A system includes a plurality of actuators and a management system operably associated with the plurality electronic and mechanical devices. The management architecture includes interfaces configured to the entire electronics and mechanics to provide a parameter to a computer. The computer includes a control and management architecture using modular finite state flow designs configured to analyze the parameter. The computer with a plurality of finite state machines can conduct a plurality of control laws operably associated with one or more actuators for finite functions of mobility. The method includes matching the parameter with the finite state machine and controlling the actuator via control law operably associated with finite state machine. The method can therefore be achieved either manually, semi-autonomously and autonomously with seamless and switchless control using a central control computer with integration of electronic and mechanic sensors and devices.

Abstract: Systems and methods for controlling settings of a design system include receiving, via a communications interface, identifying data associated with a multiphysics modeling system. Instructions are transmitted via the communication interface or another interface. The instructions include model settings related to a multiphysics model at least partially residing in the multiphysics modeling system. Model results are received that are at least partially derived from the transmitted model settings. At least a portion of the received model results are displayed in a graphical user interface associated with the design system.

Abstract: A method of generating a library of reference spectra includes storing an optical model for a layer stack having at a plurality of layers, receiving user input identifying a set of one or more refractive index functions and a set of one or more extinction coefficient functions a first layer from the plurality of layers, wherein the set of one or more refractive index functions includes a plurality of different refractive index functions or the set of one or more extinction coefficient functions includes a plurality of different extinction coefficient functions, and for each combination of a refractive index function from the set of refractive index functions and an extinction coefficient function from the set of extinction coefficient functions, calculating a reference spectrum using the optical model based on the refractive index function, the extinction coefficient function and a first thickness of the first layer.

Abstract: A system includes a plurality of actuators and a control system operably associated with the plurality of actuators. The control system having a control logic architecture having a dynamic command input shaping model associated with an input command, a robust inner loop associated with the dynamic command input shaping model, and a time delay cancellation model. The method includes selecting a control law based upon a flight performance of an aircraft, decoupling the control law into a first individual component and a second individual component of the aircraft flight motion, analyzing each individual component separately, regrouping the component of flight motion, analyzing the control law with a time delay cancellation model and providing the necessary dynamic flight quickness with a different command input condition.

Abstract: A method of model identification for a process with unknown initial conditions in an industrial plant, the method comprising collecting a set of manipulated variables and corresponding set of process variables from the process; obtaining a plurality of manipulated variables from the collected set of manipulated variables; for each of the plurality of manipulated variables, obtaining optimal model parameters of a model transfer function and computing a model fitting index for optimized simulated process variables generated by the model transfer function using the optimal model parameters; identifying a best model fitting index among the model fitting indices computed; selecting a manipulated variable associated with the best model fitting index as an initial steady state condition for the model transfer function; and selecting the optimal model parameters corresponding with the best model fitting index as the best model parameters of the model transfer function to tune the controller.

Abstract: A negotiation process is conducted between a controller and a target forwarding or switching device with respect to an abstract candidate device model for a forwarding plane. The abstract candidate device model is provided by a controller and indicates intended forwarding or switching behavior for the target device that a controller desires to have implemented on the target device. The intended behavior is specified in terms of mandatory and non-mandatory behavior. A hardware abstraction layer (HAL) for the target device analyzes the abstract candidate device model and decides whether the mandatory and optional behavior that is specified by the model is supported given the architecture of the target. The HAL informs the controller whether the intended behavior is supported by the target. Additional behavior may be proposed and accepted or not before the model is finalized. The finalized model may then be implemented and used to control forwarding behavior on the target device.

Abstract: A system includes host and learning machines. Each machine has a processor in electrical communication with at least one sensor. Instructions for predicting a binary quality status of an item of interest during a repeatable process are recorded in memory. The binary quality status includes passing and failing binary classes. The learning machine receives signals from the at least one sensor and identifies candidate features. Features are extracted from the candidate features, each more predictive of the binary quality status. The extracted features are mapped to a dimensional space having a number of dimensions proportional to the number of extracted features. The dimensional space includes most of the passing class and excludes at least 90 percent of the failing class. Received signals are compared to the boundaries of the recorded dimensional space to predict, in real time, the binary quality status of a subsequent item of interest.

Abstract: A mechanism in a block diagram environment allows the modeling of an execution behavior of a block in a block diagram, where a user selects the execution behavior from a plurality of functions related to the block diagram and where the execution behavior of the block is performed when at least one model variable associated with the block satisfies a user-specified condition is disclosed. States and other internal data in the designated block are initialized upon the satisfaction of the user-specified condition. The illustrative embodiment of the present invention also allows the internal data to be reset upon the ending of the event, such as the modeled introduction or withdrawal of power. The execution behavior may be suspended and resumed multiple times during the simulation in response to multiple occurrences of the specified event. The present invention also allows for selected data to be exempt from the reset process so that the selected data is non-volatile.

Abstract: A disk drive is disclosed comprising a servo control system operable to actuate a head over a disk. A disturbance signal is generated in response to a vibration, and the disturbance signal is filtered with a first filter comprising a frequency response to generate a filtered disturbance signal. The filtered disturbance signal is filtered with a model of the servo control system to generate a compensated disturbance signal. An error signal of the servo control system is filtered with a second filter comprising the frequency response to generate a filtered error signal. An adaptation control signal is generated in response to the compensated disturbance signal and the filtered error signal, and an adaptive filter is adapted in response to the adaptation control signal, wherein the adaptive filter filters the disturbance signal to generate feed-forward compensation values applied to the servo control system to compensate for the vibration.

Abstract: A method of controlling a production process including a process step for the morphological modification of a bio-material matrix comprises obtaining digital input data acquired during each of a plurality of production runs of the process, which input data includes information from radiation within a portion of the electromagnetic or acoustic spectrum having interacted with the matrix at one or more locations within the process together with a process control parameter and production event data for the associated production run; generating in a computer a prediction model from a multivariate analysis of the digital input data, which model links the information directly with one or more of process control parameters, production run events and process control settings; and applying in the computer the prediction model to interacted information obtained from a new production run to generate as an output one or more of a process control parameter a process control event and a predicted production run event for th

Abstract: The current application is directed to intelligent controllers that continuously, periodically, or intermittently calculate and display the time remaining until a control task is projected to be completed by the intelligent controller. In general, the intelligent controller employs multiple different models for the time behavior of one or more parameters or characteristics within a region or volume affected by one or more devices, systems, or other entities controlled by the intelligent controller. The intelligent controller collects data, over time, from which the models are constructed and uses the models to predict the time remaining until one or more characteristics or parameters of the region or volume reaches one or more specified values as a result of intelligent controller control of one or more devices, systems, or other entities.

Abstract: A method of diagnosing an adaptive process control loop includes measuring process control loop signal data, generating a plurality of process control loop parameters from the process loop signal data and evaluating a condition of the adaptive process control loop from one or more of the plurality of process control loop parameters. The process control loop data is generated as a result of a normal operation of one or more process control devices within the adaptive process control loop when the adaptive process control loop is connected on-line within a process control environment. A self-diagnostic process control loop includes a diagnostic tool adapted to receive a diagnostic index pertaining to a process control loop parameter for a plurality of components of the process control loop and for the complete process control loop. Each diagnostic index is generated from signal data by a corresponding index computation tool.

Abstract: Method of reducing performance variability of membrane scaling devices. Scaling device performance uncertainty is reduced, thereby reducing the scaling safety factor, by specifying a narrow range or subset of the set of all qualified manufactured membranes for installation into scaling devices. In certain embodiments, the scalability factor is reduced by determining where within the performance distribution a particular membrane lies, and adjusting the scaling factor accordingly.

Abstract: A method includes obtaining a reference tracking performance ratio and a disturbance rejection performance ratio associated with a model predictive control (MPC) controller. The method also includes filtering an output target signal for the controller using a first filter based on the reference tracking performance ratio. The method further includes filtering a feedback signal for the controller using a second filter based on the disturbance rejection performance ratio. The filters can provide two degrees of freedom for tuning reference tracking and disturbance rejection operations of the controller. The reference tracking operation of the controller and the disturbance rejection operation of the controller can be independently tunable. The reference tracking performance ratio can control how aggressively the controller responds to a change in the output target signal. The disturbance rejection performance ratio can control how aggressively the controller responds to a disturbance in the feedback signal.

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: Embodiments described herein are directed to a virtual repair of digital media using a virtual repair service. Digital media stored on a digital media device is read using a media player. A request is received by a virtual repair unit from the media player to perform a virtual repair of a segment of unreadable digital content of the digital media. The virtual repair unit retrieves a readable copy of the digital content corresponding to the segment of unreadable digital content identified in the request from a media repository using the virtual repair unit. The virtual repair unit transmits the readable copy of the digital content to the media player for insertion into a buffer of the media player.

Abstract: A method controls an operation of a machine using a model predictive control (MPC). The method determine, in response to receiving a state of the operation of the machine, a dual solution of a dual parametric problem of a parametric form of the MPC using a parallel quadratic programming (PQP) rescaling iteratively a candidate dual solution of the dual parametric problem. The coefficients of the dual parametric problem include data representing dynamics of the machine and constraints on the operation of the machine. A parameter of the dual parametric problem includes the state of the operation of the machine. The method determines a primal solution of a primal problem of the MPC using the dual solution of the dual parametric problem.

Abstract: A method for the automated control of a process robot with a controller performing movement and work sequences and with one or more sensors that record a work progress. A planning tool compares a recorded progress of work with an aimed-for processing objective and determines, from a difference between the processing objective and an actual value of the process that corresponds to the recorded progress of work, movement and work sequences with which the aimed-for processing objective is achieved. Then the determined movement and work sequences are converted into robot-executable control commands in real time or in-step with the process, and the process robot is controlled in such a way as to achieve the aimed-for processing objective.

Abstract: A system calculates a first ratio of a prediction error variance of a model of a controller error, and the lesser of a variance of a prediction error of a naïve predictor model and a variance of a controller error. The system rates a process controller as a function of the first ratio. The system also calculates a second ratio of a variance of the controller error and a variance of the prediction error of the naïve predictor model. The system rates the process controller a function of the second ratio. The system uses the first ratio, second ratio, other ratios, and discrete indicators in determining an embedded fusion for loop performance monitoring in the process controller and for displaying a value as a measure of the loop performance.

Abstract: An operator tool is provided to assist an operator of a process or machine in decision making. The tool is initiated by the operator selecting a key variable, “Variable of Interest”, at the user interface. The variable of interest usually is an output variable of interest (such as quality, cost, etc.). At least most significant variables related to the selected variable of interest are automatically determined by a statistical method and shown at the user interface. The operator can adjust the related variables shown on the interface. The impact of one variable to another is demonstrated by a prediction method and shown in a numerical and/or graphical form. After being satisfied with the result of the analysis, the operator decides on which is the preferred parameter change in order to overcome the problem in question or achieve the desired improvement, and then implements the corresponding change on the real system.

Abstract: A device, system, and method are directed towards optimizing a security apparatus within a Service-Oriented Architecture (SOA). Performance data is gathered for the SOA. A plurality of queuing performance models are generated based on a plurality of components comprising a user land, a kernel, and a Central Processing Unit (CPU). The generation may be based on an incremental online training based on the gathered data, on a simulation based on the gathered data, on a probability distribution function, on an operational law, or the like. Derivative points are determined based on the plurality of queuing performance models. The derivative points are maximized by tuning at least one parameter of the user land, at least one parameter of the kernel, and/or at least one parameter of the CPU within at least another simulation and/or increment of the online training. The security apparatus is optimized based on the at least one parameters.

Abstract: A device and method to adapt a model in a underdetermined adaptive system that provides an output in response to an input. A controller provides parameters to the model in a transceiver system, composed of linearizers, equalizers, or estimators as a function of an error signal. The controller and the model parameters are manipulated to allow agnosticism with respect to input signals or model complexity, enabling robust operation and efficient implementation.

Abstract: A method is provided for populating a function for a control unit with data, in which method measurements are performed on a system at different measuring points on a test stand, and a global data-based model is set up based on the obtained measured values, and virtual measurements which simulate real measurements on the test stand are carried out on the global data-based model, and uncertainties for virtual measured values of the virtual measurements are determined from the global data-based model, the uncertainties of the virtual measured values being taken into account when populating the function for the control unit with data.

Abstract: A test device for testing at least a portion of a virtual control unit with a simulation environment in a simulator, having the virtual control unit and the simulation environment. The virtual control unit has at least one software component with an external data interface. The simulation environment has a data interface for indirect data exchange with the virtual electronic control unit. A reduced dependency between the virtual control unit and the simulation environment with the result that electrical fault simulation with virtual electronic control units is possible in a simpler way, is achieved in that a virtual control unit pin module and a virtual manipulation unit are additionally provided between the virtual control unit and the simulation environment, the two units transmit a virtual physical control unit signal through a virtual control unit pin of the virtual electronic control unit pin module. The virtual manipulation unit outputs a manipulated virtual physical control unit signal.

Abstract: A method, apparatus, and machine readable storage medium is disclosed for managing a communication network wherein statistics are collected and next expected values for the statistics are calculated based on batch mean and confidence interval calculations and an alarm is raised if the next expected value exceeds a threshold.

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: Computer-implemented systems and methods for use in processing a paint batch. As an example, a system and method can include an input software mechanism for receiving input data related to the paint batch. Volatile organic compound software instructions are configured to determine an addition amount of solvent to add to the paint batch. The addition amount of solvent is determined based upon the input related to the paint batch and upon pre-specified criteria.

Abstract: A feed forward system includes an input device configured to receive a desired response of the mechanical system and a trainable system configured to generate a feed forward signal that drives the mechanical system based on the desired response. The trainable system is trained based on a plurality of measured responses of the mechanical system.

Abstract: A method for generating a data-based function model includes: providing a first data-based partial model ascertained from a first training data record; providing at least one additional training data record; and performing the following steps for the at least one additional training data record: ascertaining a difference training data record having training data which correspond to the differences between the output values of the relevant additional training data record and the function value of the sum of the partial function values (ffirst—partial—model(x) fsecond—partial—model(x)) of the first data-based partial model and previously ascertained data-based partial model(s) at each of the measuring points of the relevant training data record; ascertaining an additional data-based partial model from the difference training data record; and forming a sum (f(x)) from the first and the additional data-based partial models.