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: 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: In the area of storage management, service automation can be realized through the use of “MAPE” loop(s). A Planner (P) interacts with the Monitoring (M), Analysis (A) and Execution (E) components in a closed loop. For each new option or potential planning action the Planner (P) invokes the Analysis (A) component. The correctness, as well as effectiveness, of the planning decision is dependent on the Analysis (A) component. Embodiments can utilize an adaptive Analysis (A) component (i.e., an analysis component that can be retrained) that also associates a value of confidence and a corresponding error in the evaluation along with a predicted impact. The Planner (P) component uses this additional information for quoting the final impact of a particular planning action as part of an adaptive MAPE loop to provide improved resource utilization and resource management.

Abstract: A method includes generating a model associated with cross-directional fiber orientation of a web, which includes identifying spatial frequency characteristics of a fiber orientation (FO) process. The method also includes providing the model for control of the FO process. Generating the model could include performing a spatial impulse test of the FO process, and long wavelength responses of the FO process can be identified by performing a spatial long wavelength test of the FO process or by retrieving information from a historical database. Actuator edge padding can be applied to the model in order to generate a controller model. A controller can be used to control the process based on the controller model. At least one parameter of the controller model can be dynamically adjusted during operation of the controller. The controller can change average fiber orientation angle profiles and twist profiles by only adjusting slice lip actuators in a headbox.

Abstract: The present invention is concerned with a process for forming a very well defined pattern of particulate material in a composite material comprising a web material and particulate absorbent material. The present invention relates also to a method for determining the equipment design and process parameter for such a process. In a particular application, the present invention provides a process for preparing liquid absorbent structures, such as may be useful for disposable absorbent articles.

Abstract: A Model Predictive Control (MPC) framework is implemented as part of the run-time system function features of a Programmable Logic Controller (PLC) system. Optimal control calculations are performed in the run-time MPC function block of the PLC. The optimal control function is determined by an MPC block in an engineering tool of the PLC, using a system dynamic matrix containing measurements from a unit step response test performed by the PLC.

Abstract: A method for model-based control of a gas turbine engine is disclosed. An operating point of the gas turbine engine is generated from measured parameters using a component-level model. The component-level model is analytically linearized by taking the first partial derivative of output parameters of each component with respect to input parameters of each component, and evaluating the result at the operating point. Components of the linearized component-level model are combined to form a combined perturbational model of the gas turbine engine, which is inverted to solve for control commands as a function of target parameters and measured parameters.

Abstract: Methods of controlling the heat-up and/or cool-down of a reactor system. One method includes collecting data sets for a hydrocracker reactor system at a first heat-up rate, generating a stability detection model of the reactor, modifying the heat-up rate through an operating region where initiation of reactions are expected and where reactions are occurring until the reactor achieves stable operation.

Abstract: In a method for supplying a resource to an entity from a resource actuator, a plurality of physics-based models pertaining to the resource actuator and the entity are developed, a condition detected at the entity is received, feedback control on a resource demand of the entity employed based upon the detected condition, feed forward control on the resource demand of the entity is employed based upon the detected condition and the plurality of physics-based models, a constraint optimization problem having an objective function and at least one constraint using the plurality of physics-based models is formulated, a solution to the constraint optimization problem is determined, in which the solution provides the actuator setting, and the resource actuator is set to the actuator setting to supply the entity with the resource from the resource actuator.

Abstract: A control system is disclosed. The control system may have a physical sensor configured to measure physical parameter values of a machine. The control system may also have a virtual sensor network system configured to receive the physical parameter values measured by the physical sensor as input parameter values, and generate output parameter values based on the input parameter values. Further, the control system may have an electronic control module configured to store an output parameter value default rate of change and an output parameter value threshold rate of change, compare a rate of change of the output parameter values generated by the virtual sensor network system to the output parameter value threshold rate of change, and control the machine based on the output parameter value default rate of change if the rate of change of the output parameter values exceeds the output parameter value threshold rate of change.

Abstract: A system, method and computer program product for predicting at least one feature of at least one product being manufactured. The system receives, from at least one sensor installed in equipment performing one or more manufacturing process steps, at least one measurement of the feature of the product being manufactured. The system selects one or more of the received measurement of the feature of the product. The system estimates additional measurements of the feature of the product at a current manufacturing process step. The system creates a computational model for predicting future measurements of the feature of the product, based on the selected measurement and the estimated additional measurements. The system predicts the future measurements of the feature of the product based on the created computational model. The system outputs the predicted future measurements of the feature of the product.

Abstract: A mobile station and methods are disclosed for diagnosing and modeling site specific effluent treatment facility requirements to arrive at a treatment regimen and/or proposed commercial plant model idealized for the particular water/site requirements. The station includes a mobile platform having power intake, effluent intake and fluid outflow facilities and first and second suites of selectably actuatable effluent pre-treatment apparatus. An effluent polishing treatment array is housed at the station and includes at least one of nanofiltration, reverse osmosis and ion-exchange stages. A suite of selectively actuatable post-treatment apparatus is housed at the station. Controls are connected at the station for process control, monitoring and data accumulation. A plurality of improved water treatment technologies is also disclosed.

Abstract: A method of conducting vehicle usage data analysis is provided. The method includes providing usage data about at least one vehicle to a database. The usage data may be analyzed and compared to a member of a set of vehicle development models to determine whether to update a vehicle development model. The usage data may also be analyzed to determine whether to transmit a communication to a vehicle.

Abstract: The invention relates to linear programming methods and systems. The linear programming model has at least one input streams, at least one intermediate stream, and at least one output stream. The linear programming model is utilized for simulating the effect of withdrawing at least a portion of an intermediate steam on one or more of the model's outputs.

Abstract: A system includes host and learning machines in electrical communication with sensors positioned with respect to an item of interest, e.g., a weld, and memory. The host executes instructions from memory to predict a binary quality status of the item. The learning machine receives signals from the sensor(s), identifies candidate features, and extracts features from the candidates that are more predictive of the binary quality status relative to other candidate features. The learning machine maps the extracted features to a dimensional space that includes most of the items from a passing binary class and excludes all or most of the items from a failing binary class. The host also compares the received signals for a subsequent item of interest to the dimensional space to thereby predict, in real time, the binary quality status of the subsequent item of interest.

Abstract: A method for defining XML-based models of logical type hierarchies, business objects and sub-objects, business object operations, enumerations and reusable structures and field-sets. The method defines an optimal, yet extensible, structure of the object models to simplify the modeling process by capturing the most essential elements of the model and inferring any additional information, such as relationship between objects, during the process of generating code, database scripts or other system artifacts from the model. Methods of generating a relational model and a presentation data model from such a business object model.

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: Identifying models of dynamic systems is described herein. One method for identifying a model of a dynamic system includes estimating a number of parameters for each of a number of models of the dynamic system, predicting an output using the estimated number of parameters for each of the number of models, calculating a rate of error of the predicted output for each of the number of models compared to an observed output, and identifying a best model among the number of models of the dynamic system based on the calculated rate of errors.

Abstract: A method of controlling surface non-uniformity of a wafer in a polishing operation includes (a) providing a model for a wafer polishing that defines a plurality of regions on a wafer and identifies a wafer material removal rate in a polishing step of a polishing process for each of the regions, wherein the polishing process comprises a plurality of polishing steps, (b) polishing a wafer using a first polishing recipe based upon an incoming wafer thickness profile, (c) determining a wafer thickness profile for the post-polished wafer of step (b), and (d) calculating an updated polishing recipe based upon the wafer thickness profile of step (c) and the model of step (a) to maintain a target wafer thickness profile. The model can information about the tool state to improve the model quality. The method can be used to provide feedback to a plurality of platen stations.

Abstract: An apparatus that generates brewed beverages by performing one or more chemical and/or mechanical processes may receive requests to produce specified brewed beverages. The apparatus may include a master controller that initiates and controls performance of the chemical and/or mechanical processes to produce the specified beverages. The master controller may adaptively apply one or more process accelerators during the performance of one of the chemical or mechanical processes to accelerate the process or to achieve a desired qualitative or quantitative characteristic for a beverage or a component thereof. The adaptive application of one or more process accelerators may be dependent on a multiple-variable process profile developed for the process and/or a specified beverage. For example, the pressure in a steam wand and/or the depth of the wand may be varied during a process to froth milk in order to produce frothed milk having a desired temperature.

Abstract: A method, system, and computer program product for managing component coupling in an object-centric process implementation are provided. The method includes, prior to deriving components that implement a centralized model: analyzing the centralized model to compute couplings within the centralized model resulting in a coupling metric; computing a predicted component model using objects, activities, and the coupling metric of the centralized model; and modifying control flow of the centralized model when a value of the coupling metric exceeds a pre-defined threshold value, re-analyzing the centralized model having the modified control flow, and repeating the computing, modifying and re-analyzing until the coupling metric is less than or equal to the pre-defined threshold. The method also includes implementing an object-centric process having component coupling that is derived from the centralized model when the value of the coupling metric is equal to or less than the pre-defined threshold value.

Abstract: A method and system for controlling a multivariable system. The method includes: (a) generating bias data as a function of model error in an on-board model; (b) updating a dynamic inversion algorithm with one or more model terms generated by the on-board model; (c) generating effector equation data by processing reference value data with the updated dynamic inversion algorithm, which effector equation data is indicative of one or more goal equations and one or more limit equations, and which reference value data is indicative of one or more goal values and one or more limit values and is determined as a function of predicted parameter data; (d) at least partially adjusting at least one of the reference value data and predicted parameter data for the model error using the bias data; and (e) generating one or more effector signals by processing the effector equation data with an optimization algorithm.

Abstract: The invention relates to a device, particularly a machine tool device, having at least one computer (10), at least one transmitter (12) for transmitting a transmission signal (S1, S2), at least one receiver (14) for receiving at least one receiving signal (E1, E2, E3, E4) excited by the transmission signal (S1, S2), and at least one analysis unit (16) which is provided to calculate at least one parameter (P1, P2, P3, P4) by means of the receiving signal (E1, E2, E3, E4). The invention provides that the computer unit (10) is provided to compare the parameter (P1, P2, P3, P4) to at least one comparison parameter (V1, V2, V3, V4) calculated by means of at least one model (M).

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: A system, method, and computer readable medium. A method includes receiving input for a simulation model, the simulation model including a sensor. The method includes concurrently executing the simulation model and control code for a simulated physical controller, where the control code interacts with the simulation model according to a state of the sensor. The method includes generating revised control code based on the executed simulation model and control code, and generating controller-specific control code based on the revised control code. The method includes executing the simulation model and the controller-specific control code, the controller-specific control code interacting with the simulation model.

Abstract: According to one embodiment, a method comprises receiving, by an adaptive controller, performance measurement for a computing system. The method further comprises estimating a performance model for use by the adaptive controller, and determining whether the estimated performance model has a correct sign for approaching performance desired for the computing system. When determined that the estimated performance model has an incorrect sign, the adaptive controller takes action to determine a performance model having a correct sign for approaching performance desired for the computing system.

Abstract: An infrastructure assessment system integrates with a smart grid infrastructure at all layers of the infrastructure. Data may be collected across layers. Performance metrics may be monitored and simulations may be performed. Action items may be decided upon based on actual behavior of the infrastructure determined from the collected data and on predicted behavior from simulations of the infrastructure. The action items may then be dispatched to be performed on the infrastructure. The effect of the management actions can then be “acquired” by the system via detailed monitoring and can be used, for example, to measure the effectiveness of the decisions or recalibration of the whole system.

Abstract: The present invention relates to a conversational automatic programming device or the like capable of generating an NC program in a simpler manner and in a shorter period of time. The automatic programming device is provided with, a machining-profile setting processor in which based on data for specifying a geometric entity selected as a contour shape of a machined portion, out of geometric entities of a geometry defined by two-dimensional CAD data, the geometric entity corresponding to the data is recognized, and based on the recognized geometric entity, a machining profile which is the contour shape of the machined portion is set; a CL-data generating processor for generating tool path data based on the set machining profile; and an NC-program generating processor for generating an NC program based on the generated tool path data.

Abstract: A technique is disclosed for optimizing a quality parameter in a process that is not directly measurable online using conventional measurement devices. The technique includes the use of a first inferential model to predict a value for the parameter based upon other process variables. A second inferential model predicts a residual component of the process parameter based off non-controllable residual variables of the process. The inferential model outputs are combined to produce a composite predicted value which may be further adjusted by an actual prediction error determined via comparison with an offline measurement. The adjusted predicted value is provided to a dynamic predictive model which may be adapted to implement control actions to drive or maintain the quality parameter at a target set point.

Abstract: The damping force of a damping force generation apparatus is controlled by operating an actuator on the basis of a control input u calculated by a state feedback controller K designed such that an L2 gain of a closed loop control system S which includes a generalized plant G designed by making use of a delay-approximated model M and the state feedback controller K therefor becomes less than a previously set positive constant ?. The delay-approximated model M is designed such that a delay element R representing operation delay of the actuator and a delay compensation element R* cancelling out the delay act on a mechanical motion model of the damping force generation apparatus. The delay-approximated model M is a bilinear system, and is designed to approximate a delay-considered model which is a control model designed on the basis of the mechanical motion model of the damping force generation apparatus and in consideration of the delay.

Abstract: The invention proposes a computer system for creating at least one machine-readable file for a medical treatment apparatus, with a database for providing at least one parameter set, an input device for inputting data regarding the flow behavior of the medical treatment apparatus as parameter set; an output device for creating and outputting a flow definition output file taking into account the input data; and a converting device for creating at least one machine-readable file or machine-readable data in a storage medium utilizing at least the parameter set. Further, a corresponding method, a data medium and a medical apparatus are specified.

Abstract: Methods and apparatus to compensate first principle-based simulation models are disclosed. An example method to compensate a first-principle based simulation model includes applying one or more first test inputs to a process system to generate first output data, applying one or more second test inputs to a first principle model to generate second output data, generating an error model based on the first and second output data, applying input data to the first principle model to generate simulation model output data, and compensating the model data via the error model to generate compensated model output data.

Abstract: A thermal manager has a digital filter whose input is to receive raw temperature values from a sensor and whose output is to provide processed or filtered temperature values according to a filter function that correlates temperature at the sensor with temperature at another location in the device. The thermal manager has a look-up table that further correlates temperature at the sensor with temperature at the other location. The look-up table contains a list of processed temperature sensor values, and/or a list of temperatures representing the temperature at the other location, and their respective power consumption change commands. The thermal manager accesses the look-up table using selected, filtered temperature values, to identify their respective power consumption change commands. The latter are then evaluated and may be applied, to mitigate a thermal at the other location. Other embodiments are also described and claimed.

Abstract: An industrial controller simulation system is provided. The system includes a simulation component that enables modeling of an industrial controller system. A suggestion component offers automated recommendations in accordance with the modeling of the industrial controller system.

Abstract: There is provided a method to account for aircraft angle of attack effects in engine noise shielding in aircraft configurations having one or more engines mounted above a wing or a lifting body. The method includes computing a local flow field from a known standard full aircraft configuration oriented at a nonzero angle of attack. The method further includes computing a mean flow field in a test dataset from a small scale aircraft model test configuration oriented at a zero angle of attack. The method further includes matching the local flow field with the mean flow field to identify a selected noise measurement dataset. The method further includes rotating the selected noise measurement dataset in a far field directivity rotation angle to match the nonzero angle of attack, thus resulting in engine noise shielding results for the full aircraft configuration at the nonzero angle of attack.

Abstract: IMS source code or a graphical object having corresponding IMS source code can be selected within the graphical user interface (GUI). The IMS source code can include a call out to an external application. An IMS call wizard can be invoked, which graphically prompts a user to specify call-out specific conditions for the external application via an ordered series of presented screens. Each screen can present a user with at least one selectable option. User-made selections from earlier ones of the presented screens can change options presented in later ones of the presented screens. IMS code can be generated to call out an external application in accordance with the user selections of the IMS call wizard. The generated IMS code can be inserted into the selected IMS source code. After the insertion, the IMS source code is operable to call out to the external application.

Abstract: A method of offline code validation and a process control system are provided. The system includes a plurality of sensors each configured to generate a sensor output value representative of a respective sensed parameter in a process plant, at least one process controller configured to receive one or more of the sensor output values and to generate a controller output value using the one or more of the sensor output values and a control algorithm associated with the at least one process controller, a plurality of controlled components configured to receive an associated controller output value, and an offline computing environment including a selectable model controller configurable to represent the at least one process controller, the model controller selectable by a user from code representing the at least one process controller and displayed on a user interface.

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: The technique disclosed herein includes a method and apparatus for controlling streamer steering devices to maintain a coil streamer shape that gives coverage for a coil shooting plan. The technique uses solved positions and a target coil streamer shape identified in the shooting plan to determine steering instructions to the streamer steering devices along the streamer.

Abstract: In this numerical control method that drives the feed shaft of a machine tool (10) by means of a servo control unit (52), a transmission function is determined by modeling the operation of the servo control unit (52) of the feed shaft, the closed loop transmission function (GBP) of the position loop and/or the closed loop transmission function of the velocity loop of the servo control unit (52) of the machine tool is measured using the frequency response of the feed shaft, the control subject (PP) of the position loop and/or the control subject of the velocity loop is determined using the measured closed loop transmission function, the position loop modeling error (?PP) and/or the velocity loop modeling error is determined from the control subject, and at least one control parameter of the servo control unit (52) is calculated using the closed loop transmission function and/or the modeling error.

Abstract: According to the present invention, an electrical power conversion system includes: a motor; an inverter circuit that outputs three-phase (U-phase, V-phase, W-phase) alternating currents to the motor; a current sensor that detects each of the three-phase alternating currents; and a control circuit that controls the inverter circuit based on a torque command value and values detected by the current sensor, so that the three-phase alternating currents outputted from the inverter circuit are formed as sine waves; and wherein the control circuit includes: a current component extraction unit that, based on the values detected by the current sensor, for each phase, extracts current components superimposed upon each of three-phase alternating currents; and an AC current abnormality detection unit that detects abnormality of an AC current flowing to the motor, based on the phases of the current components for any two phases among the three-phase alternating currents.

Abstract: Embodiments provide techniques, computer-readable media, and devices for allowing users to perform interactive design of controllers, such as PID controllers, in a free-form modeling environment. Users can tune controllers using characteristics familiar to typical users rather than having to specify gain values for the controller, which may be difficult for a user to relate to the performance of a controller.

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 recommendation engine coupled to a server computer in communication with a plurality of hosts is described. The recommendation engine includes computer readable intrusion-protection instructions stored in a memory device, which cause a processor of said server computer to determine a current host-protection configuration for a target host; detect discrepancy between said current host-protection configuration and a prior host-protection configuration; install said current host-protection configuration in said target host upon detecting said discrepancy; record successive host-reconfiguration periods, a host reconfiguration period being a difference between successive instants of time at which a current host-protection configuration differs from a prior host-protection configuration; determine a monitoring period according to a value of at least one of said successive host-reconfiguration periods; and a scheduler for activating said intrusion-protection instructions according to said monitoring period.

Abstract: The present disclosure provides novel techniques for defining empirical models having control, prediction, and optimization modalities. The empirical models may include neural networks and support vector machines. The empirical models may include asymptotic analysis as part of the model definition as allow the models to achieve enhanced results, including enhanced high-order behaviors. The high-order behaviors may exhibit gains that are non-zero trending, which may be useful for controller modalities.

Abstract: A tracking simulator models an industrial process simultaneously and in parallel with the industrial process. The simulator receives control inputs provided by an automation system to control the industrial process. Based on these inputs, the simulator with its process model(s) provides simulated process outputs. In order to avoid divergence of the simulation models from the real process, the tracking simulator receives process measurements from the real process and is able to correct, i.e. update, its models based on these real process measurements and the simulator outputs. One or more of the updated or adjusting parameters for the simulation models are generated by PI or PID controller. Additionally, some of the updated parameters can be generated by an NM or SE method. The PI or PID controller can be an automatic controller tuning tool of the automation system. Additionally, some of the updated parameters can be generated by NM.

Abstract: Disclosed are various systems and methods for assessing and improving the capability of a machine tool. The disclosure applies to machine tools having at least one slide configured to move along a motion axis. Various patterns of dynamic excitation commands are employed to drive the one or more slides, typically involving repetitive short distance displacements. A quantification of a measurable merit of machine tool response to the one or more patterns of dynamic excitation commands is typically derived for the machine tool. Examples of measurable merits of machine tool performance include workpiece surface finish, and the ability to generate chips of the desired length.

Abstract: A method for monitoring operation behavior of a component of an industrial plant is provided. Parameter identifiers of operation parameters of the industrial plant are read from an element of a control system of the plant. Some of these parameter identifiers are selected and the selected parameter identifiers are forwarded to an element of the control system. Further, a time of a specified operation of the component is defined and behavior of the selected parameters of the component in the defined time is used as guide model for monitoring selected parameters of the component during component operation.

Abstract: The disclosure relates to a system and a method for planning the operation of, monitoring processes in, simulating, and/or optimizing a technical installation comprising several units that can be combined with each other. Said system comprises at least one process planning module, at least one process simulation module, and at least one process optimization module. Components for modeling, simulating, and optimizing the technical installation are stored in said modules. The interrelated modules cooperate with a data management layer via at least one interface, said data management layer making available actual measured and/or historical process data for determining parameters and/or operational data for the modules in order to plan operations as well as simulate and optimize processes. The parameters and/or operational data determined in the modules can be fed to the data management layer for further processing by taking into account the stored components.

Abstract: Control systems, apparatus, and methods can apply quantum algorithms to control a control object in the presence of uncertainty and/or information risk. A self-organizing controller can include a quantum inference unit that can generate a set of robust control gains for a controller that can meet the control objectives for the particular realization of the control object. In one embodiment, the quantum inference unit can include a quantum correlator configured to generate a plurality of quantum states based on a plurality of controller parameters and a correlation type. In this embodiment, the quantum inference unit can also include a quantum optimizer configured to select the correlation type of the quantum correlator and to select a quantum state from the plurality of the quantum states. The self-organizing controller can control the control object with one or more controller gains that are based on the selected quantum state.