Abstract: Age and related conditions are assessed with a gene expression test that determines the expression levels of a panel of genetic markers. Each age signature contains expression information for genes in at least one functional group that is identified herein as having an expression pattern that correlates with physiological aging of a tissue or tissue of interest.

Abstract: Embodiments of the invention can provide systems and methods for using a combustion dynamics tuning algorithm with a multi-can combustor. According to one embodiment of the invention, a method for controlling a gas turbine engine with an engine model can be implemented for an engine comprising multiple cans. The method can include obtaining operating frequency information associated with multiple cans of the engine. In addition, the method can include determining variation between operating frequency information of at least two cans. Furthermore, the method can include determining a median value based at least in part on the variation. Moreover, the method can include determining whether the median value exceeds at least one operating threshold. The method can also include implementing at least one engine control action to modify at least one of the operating frequencies if at least one operating threshold is exceeded.

Abstract: An event detection method is disclosed. At least one most adaptable life cycle model is generated according to at least one historical event data, at least one nutrition growing function, and at least one firing point rule. Event data is received and a strength value thereof is calculated according to a life cycle model corresponding to the event data. It is determined whether an event firing point is achieved according to the strength value variation. If the event firing point is achieved, an event corresponding to the event data is sent. The event detection method enhances the ability of event tracking and development so event firing is more accurate to fit real event occurring situations, realize event evolution, and filter false alarms.

Abstract: Techniques for implementing system best practices are provided. In one aspect, a method for monitoring, modeling and managing a physical system is provided. The method includes the following steps. A physical data model of the physical system is provided. Real time data is obtained from the physical system. The physical data model is updated based on the real time data. An analytic model of the physical system is created based on the updated physical data model. Operation of the physical system is controlled based on output from the analytic model.

Abstract: A method of controlling soot blowers near a heat exchange section includes generating models of both the ideal clean operating condition of the section and the dirty operating condition. The current operating condition of the section is used to calculate a reliability parameter that provides an indication of the reliability of the ideal and dirty models. If the reliability parameter indicates that the models are reliable, the models are used to help evaluate the cleanliness status of a particular heat exchange section and assist in making decisions on whether to blow the section or not, and whether to make any necessary adjustments to the operating sequence of the soot blowers. If the reliability parameter indicates that the models are unreliable, the models are regenerated using additional process data.

Abstract: A computer-implemented method to optimize control laws (CLaws) includes inserting a unit delay downstream of at least one gain in a system model to define an extended system model and linearizing the extended system model to define an extended linear state model. On a computer at least one matrix is computed from the extended linear model. A control law is optimized using a plurality of linear models from a linear model library computed with the at least one matrix.

Abstract: The present invention provides a method and apparatus for sensing and determining the shapes of deformable materials, shaped by a plurality of actuators, using sparse sensor network topologies. The method comprises placing a plurality of curvature sensors on the surface of a deformable material to measure the local curvatures of the deformable material. The plurality of curvature sensors generate a collection of sensor data correlated to the local curvatures. Actuator parameters are generated from sensor data by assuming linear approximation between sensors data and actuator parameters. The shape of the deformable material is determined from the generated actuator parameters.

Abstract: The present invention provides methods for analyzing multi-channel profiles. In the method of the invention, systematic cross-profile (cross-experiment) errors among a plurality of multi-channel profiles having a common reference channel are estimated using profiles of the common reference channel. The cross-profile errors are then removed from profiles of the experiment channels, e.g., by subtracting the error from the experiment profile. The obtained error-corrected experiment channel data can then be used in comparison with each other, e.g., in generating virtual differential profiles between pairs of experiment channels. The method of the invention is particularly useful in analyzing multi-channel expression profiles obtained in microarray measurements.

Abstract: Well bore servicing equipment is provided. The well bore servicing equipment comprises a first manipulator to grip a well bore work string, to raise the work string, and to lower the work string. The well bore servicing equipment further comprises a controller to receive a work string trajectory input and to automatically control the first manipulator to raise and lower the work string substantially in conformance with the work string trajectory input.

Abstract: The invention relates to a module for reproducing a transmitter signal (xactE). A control device (1) is coupled to a driving device (4a) for controlling a machine while being coupled to the module (5, 5?) via a data bus (7) for exchanging data. A reproduced transmitter signal (xactEn) is determined from a reference value (xdes) that is predefined by the control device with the aid of the module (5, 5?). The module (5, 5?) is logically coupled to the control device (1) via the data bus (7) in such a way that the module (5, 5?) is projected in the same way as the driving device (4a) from the perspective of the control device (1). The inventive module (5, 5?) for reproducing a transmitter signal (xactE) thus makes it possible to project, start, and adjust the dynamics of the machine in a simple manner.

Abstract: A method, computer, and recording medium storing a program are provided which, based on local optimal solutions, more efficiently calculate an optimal global optimal solution in a global operating area. System calculates the global optimal solution by solving, using a genetic algorithm based on the local optimal solutions and the initial values, an equation, which should be satisfied by the plurality of design variables, by obtaining the plurality of combinations of design variables composing local optimal solutions for each design variable respectively calculated for each of a plurality of combinations of a plurality of operating states, and by obtaining initial values for the plurality of combinations of design variables used for calculating the global optimal solution.

Abstract: An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to that used in biological immune systems during on-line operation of a process, the technique collects and stores indications of process control states. During steady-state operation, the technique optimizes process operation by developing sets of process control inputs from stored process control states using an objective function that defines an optimality criterion. Moreover, after one or more disturbance inputs experiences a significant change, the technique responds by comparing the changed disturbance inputs to the disturbance inputs of at least some of the stored process control states to determine the stored process control states that are closest to the new process operating condition.

Abstract: A method of creating and using an adaptive DMC type or other MPC controller includes using a model switching technique to periodically determine a process model, such as a parameterized process model, for a process loop on-line during operation of the process. The method then uses the process model to generate an MPC control model and creates and downloads an MPC controller algorithm to an MPC controller based on the new control model while the MPC controller is operating on-line. This technique, which is generally applicable to single-loop MPC controllers and is particularly useful in MPC controllers with a control horizon of one or two, enables an MPC controller to be adapted during the normal operation of the process, so as to change the process model on which the MPC controller is based to thereby account for process changes.

Abstract: In a robot device, an action selecting/control system includes a plurality of elementary action modules each of which outputs an action when selected. An activation level calculation unit calculates an activation level AL of each elementary action on the basis of information from an internal-state manager and external-stimulus recognition unit and with reference to a data base. An action selector selects an elementary action whose activation level AL is highest as an action to be implemented. Each action is associated with a predetermined internal state and external stimulus. The activation level calculation unit calculates an activation level AL of each action on the basis of a predicted satisfaction level variation based on the level of an instinct for an action corresponding to an input internal state and a predicted internal-state variation predictable based on an input external stimulus.

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: A real-time operating optimized method of multi-input and multi-output continuous manufacture procedure includes steps as follows: first, using plurality of pivotal operation conditions in the manufacture procedure as optimized variables, and using the technical target associating with the pivotal operation conditions as the objective function, then, calculating on line the grades vector between pivotal operation conditions and the technical target at current time according to historical data of pivotal operation conditions and the technical target, using correlation integral method or other methods, at last, using this grades vector to define the adjustment direction of the operation conditions. When the grades vector is positive or negative, the pivotal operation conditions should be adjusted in order to change the grades vector to zero.

Abstract: Test cases to test control strategies of a control process are specified in input files. The instructions in the input files are automatically read by a block tester, which interfaces with the control system to issue the instructions. As a test designer can create the instructions in the input files a priori, the tests may be carefully designed to avoid errors, in addition to performing exhaustive tests.

Abstract: The control apparatus for a movable robot comprises: environment information acquisition means (such as video camera 3 and microphone 4); a current position detecting means (15); a map storage (7); a control parameter storage (9) for storing control parameters adjusted to different environments; and control means (11, 12) for determining a current position of the robot on the map data based on a signal from the current position detecting means, retrieving control parameters suitable for the current position from the parameter storage, and controlling the environment information acquisition means or actuators for moving the robot by using the retrieved control parameters.

Abstract: A system and method of machine learning that uses an inverse matrix of a reference similarity matrix as a transformation matrix. The reference similarity matrix relates a reference set of objects to themselves using a distance metric such as an image edit distance. The transformation matrix is used to improve the performance of query vectors in classifying or identifying digital representations of an unknown object. The query vector is a measure of similarity between the unknown object and the members of the reference set. Multiplying the query vector by the transformation matrix produces an improved query vector having improved similarity scores. The highest improved similarity score indicates the best match member of the reference set If the similarity score is high enough, the unknown object may either be classified as belonging to the same class, or recognized as being the same object, as the best match object.

Abstract: The present invention features a system and method for estimating body states of a vehicle. The system includes at least two sensors mounted to the vehicle. The sensors generate measured vehicle state signals corresponding to the dynamics of the vehicle. A signal adjuster transforms the measured vehicle states from a sensor coordinate system to a body coordinate system associated with the vehicle. A filter receives the transformed measured vehicle states from the signal adjuster and processes the measured signals into state estimates of the vehicle, such as, for example, the lateral velocity, yaw rate, roll angle, and roll rate of the vehicle.

Abstract: A method for controlling and modeling a turbine is provided. The method may include modeling the turbine by a primary adaptive turbine model that includes at least one primary operating parameter and modeling the turbine by an alternate adaptive turbine model that includes at least one alternate operating parameter. The method may also include determining a first output value from the primary adaptive turbine model that corresponds at least in part to the operation of the turbine based on a primary control strategy and adjusting the alternate operating parameter or parameters based on an alternate control strategy and based at least in part on the first output value. The method may further include determining comparison data based at least in part on a comparison between the primary control strategy and the alternate control strategy.

Abstract: A system and method for creating and incorporating a function block within a process control system enables a user of the process control system to generate a function block by combining a plurality of files selected from a group of files provided by the manufacturer of the process control system to form a source code file associated with the function block. The user can modify the function block source code file to include a procedure, routine or algorithm that is not provided by the manufacturer and can send the modified source code file to the manufacturer for validation. If the function block source code file is validated, a security measure such as a digital signature is provided to the user that enables the user to incorporate the function block within the process control system.

Abstract: Methods for identifying feature boundary pixels are provided. In general, the subject methods involve evaluating a pixel signal to identify any difference in amplitude between a first part of the signal and a second part of the signal. If the difference is significant, the pixel signal may be indicated as a pixel representing a feature boundary. Also provided are systems and programming for performing the subject methods, and an array scanner containing these systems and programming.

Abstract: There is described a method and system for detecting an anomaly in data originating from a component used in an industrial process. The anomaly detection steps comprise: providing predictive models in which at least one of the predictive models corresponds to at least one operating mode from a plurality of operating modes of the component; obtaining operating data from the component, the operating data being indicative of a given operating mode from the operating modes; selecting at least one of the predictive models based on the given operating mode; generating estimated data using the selected at least one predictive model; comparing the operating data with the estimated data; and generating an alarm trigger when the comparison meets a given anomaly criteria thereby constituting the detection of the anomaly.

Abstract: A control system includes a basic control command operating unit, a fuel data storage unit, a running results database for storing past running results values of a control subject, a data creating unit configured to calculate a distance between data of the past running results values and the data sets and determining data set in which a distance between data becomes minimum, a modeling unit configured to model a relationship between operation parameters of a combustion apparatus and components in combustion gas of the combustion apparatus by using the data set determined by the data creating unit and a correcting unit for calculating combustion apparatus operation parameters with which components having a better condition than that of the components in a current gas are provided by using a model of the modeling unit and correcting operation command values of the basic control command operating unit by calculated operation parameters.

Abstract: A method for the computer-aided determination of a control variable using context information from one or more units to be controlled is described. This method involves a controller using simulation to ascertain a piece of simulated context information which is used as a control variable, wherein the simulated context information comprises a first variable which represents a presumed state of the one or more units at a given time. The controller compares a received piece of context information, which comprises a second variable which represents the actual state of the unit to be controlled at a time which is before the given time, with the simulated context information and checks whether the simulated context information matches the context information within prescribed limits. In addition, the controller requests a piece of updated context information from one or more units to be controlled if the simulated context information matches the context information at the given time outside the present limits.

Abstract: A method and apparatus for process monitoring are provided. Process monitoring includes (i) generating a multivariate analysis reference model of a process environment from data corresponding to monitored parameters of the process environment; (ii) designating at least one of the monitored parameters as being correlated to maturation of the process environment; (iii) collecting current process data corresponding to the monitored parameters, including the at least one designated parameter; and (iv) scaling the multivariate reference model based on the current process data of the at least one designated parameter to account for maturation of the process environment. The method further includes generating one or more current multivariate analysis process metrics that represent a current state of the process environment from the current process data; and comparing the current process metrics to the scaled reference model to determine whether the current state of the process environment is acceptable.

Abstract: A control system for a wind turbine comprises: a sensor arrangement for capturing measures related to the turbine operation and fatigue accumulation; an upper level controller, which, on the basis of a statistical treatment of said measures, calculates optimized control settings at discrete points of time; a measurement module which processes said measures into instantaneous values; and a lower level controller that receives said control settings and said instantaneous values and calculates instantaneous optimal commands to control turbine actuators. The lower level controller comprises a continuous-time damage model which calculates the rate at which damage is accumulated at any time, and an optimal controller which controls operational states of the turbine, either by directly giving feedback of the instantaneous values to the actuators, or by generating a turbine performance objective function which is continuously optimized by repeatedly solving a receding horizon optimization problem.

Abstract: The present invention discloses a feedback and feedforward process control system, comprising the steps: 1.) Determining an output variable that is highly correlated with the controlled variable, the variation of which is mainly influenced by upstream processes rather than current process, 2.) Processing a semiconductor wafer with a first set of parameters, 3.) Measuring the output variable that is highly correlated with the controlled variable after the semiconductor wafer is processed, 4.) Developing a predictive feedforward signal based on the output variable, 5.) Measuring the controlled variable after the semiconductor wafer is processed to be used as feedback signal, and 6.) Determining a second set of parameters based on feedback and feedforward signals.

Abstract: A method is presented for adjusting the steady-state gains of a multivariable predictive control, planning or optimization model with uncertainty. The user selects a desired matrix relative gain criteria for the predictive model or sub-model. This is used to calculate a base number. Model gains are extracted from the predictive model and the magnitudes are modified to be rounded number powers of the calculated base number.

Abstract: A gas turbine performance analysis system includes a performance computation module for receiving an actual measured value of an inlet air temperature introduced to a compressor, a compressor pressure ratio, and a flow rate of fuel supplied to the gas turbine, and for calculating and outputting values of the gas turbine's power output and exhaust temperature based on these actual measured values. A performance estimation module evaluates the performance of the gas turbine based on the deviation between the values of power output and exhaust temperature outputted from the performance computation module and the actual measured values of power output and exhaust temperature. An adjustment module calculates a corrected value of the fuel flow rate based on the actual measured values of inlet air temperature, compressor pressure ratio and fuel flow rate, and inputs the corrected fuel flow rate value into the performance computation module.

Abstract: A method and apparatus for signal transformation for positioning control in positioning systems is provided. The positioning involves performing a signal transformation by determining a transform and an inverse transform between a triangular reference signal and a model reference signal with less frequency content, for transforming the triangular reference signal into a ramp signal; and providing a controller including a double integral module, configured for tracking the model reference signal with zero steady state error, for controlling a positioning system.

Abstract: The load on an aircraft component is measured. In one embodiment, the system is a contactless, all-weather displacement measuring system including a processing unit and a plurality of pairs of controllable microwave emitters and microwave detectors. When the aircraft component is subjected to a load, relative movement of the emitter and detector is caused. The detector generates signals which convey information concerning the relative positions of the emitter and the detector of the pair, the signals being received and processed by a signal processor of the processing unit. The processing unit may, for example with the use of triangulation techniques, provide an output signal representative of the load sustained by the aircraft component. The system may be used to control braking in dependence on the output signal so as to maximise braking efficiency without overloading the landing gear leg.

Abstract: The disclosure relates to a method for configuring field devices in a process automation system wherein the field devices are connected to other automation components by means of a field bus. In order to minimize the load placed on the field bus, a copy of the current configuration of each field device is stored in a configuration tool, the appropriate set of configuration and parameter data is transmitted to each field device during initial start-up and modifications in relation to the previous copy of the configuration and parameter data are transmitted to the respective field device.

Abstract: In at least some embodiments, a method comprises obtaining a state description associated with a system having a component. The method further comprises automatically obtaining a substantially optimal parameterization for the component based on one or more operant characteristics of the component predicted by a behavior prediction model using combinations of the system's state description and a set of possible parameterizations for the component.

Abstract: This invention describes a new process for monitoring and regulation of an industrial unit that comprises a closed-loop identification phase for the parameters of a model of said industrial unit, implemented in a multi-variable, predictive linear monitor, whereby said identification phase is implemented in a closed loop, which makes it possible to minimize the substandard production of said unit.

Abstract: An MPC controller technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC controller that performs better than traditional MPC techniques in the presence of process model mismatch. In particular, MPC controller performance is enhanced by adding a tunable integration block to the MPC controller that develops an integral component indicative of the prediction or other control error, and adds this component to the output of an MPC controller algorithm to provide for faster or better control in the presence of model mismatch, which is the ultimate reason for the prediction error in the first place. This technique enables the MPC controller to react more quickly and to provide better set point change and load disturbance performance in the presence of model mismatch, without decreasing the robustness of the MPC controller.

Abstract: A method, apparatus, and computer program product for controlling the behavior of complex rhythmic systems, such as the nervous system, is disclosed. Robust, engineering based measurements of the rhythmic system are taken and used to generate feedback that guides the system towards a desired state. This methodically designed feedback allows the system to maintain the normal behavior of individual elements, thereby achieving high effectiveness, while at the same time minimizing side effects. It therefore becomes possible to move the system towards the desired state in a non-destructive manner. This approach also allows for increased flexibility and applicability because the feedback is generated in a manner that is tailored to the unique variables of the particular system.

Abstract: A system that monitors telemetry from a host computer system to detect degradation in a remote storage device. During operation, the system monitors performance parameters from a host computer system which accesses the remote storage device, wherein the performance parameters relate to the interactions between the host computer system and the remote storage device. The system then determines whether the monitored performance parameters have deviated from predicted values for the performance parameters. If so, the system generates a signal indicating that the remote storage device has degraded.

Abstract: The present invention is a method and system for detecting an abnormal event for process units of a Polymers Unit. The method compares the operation of the process units to statistical, engineering or heuristic models. The statistical models are developed by principle components analysis of the normal operation for these units. In addition, the engineering models are based on correlation analysis between variables or simple engineering calculations. If the difference between the operation of a process unit and the normal model result indicates an abnormal condition, then the cause of the abnormal condition is determined and corrected.

Abstract: A method and system for controlling the behavior of a plant having an input and an output by enhanced feedback. A simulation input signal is derived from an input to be applied to the plant and a simulated signal is generated by simulating an aspect of an assumed behavior of the plant in dependence on the simulation input signal. The simulated signal is subtracted from a plant feedback signal which is derived from an output of the plant and the resulting difference signal is used to modify the input signal by feedback prior to deriving a plant input signal. The simulation may take into account derivation of the plant feedback signal and the input signal is typically modified so as to reduce the effect on the output signal of a deviation in actual behavior of the plant from the assumed behavior of the plant over a predetermined operating frequency range.

Abstract: A system for monitoring an industrial production process includes one or more sensors configured to facilitate generating process data and a processor configured to calculate a value of a monitoring variable using the process data. The monitoring variable is optimized with respect to an abnormal space of a process space. The process space includes process parameters and principle components of a multivariate model of the process. The abnormal space includes a subspace of the process space.

Abstract: Disclosed are systems and methods for on-line monitoring of operation of a process in connection with process measurements indicative of the operation of the process. In some cases, the operation of the process is simulated to generate model data indicative of a simulated representation of the operation of the process and based on the process measurements. A multivariate statistical analysis of the operation of the process is implemented based on the model data and the process measurements. The output data from the multivariate statistical analysis may then be evaluated during the operation of the process to enable the on-line monitoring of the process involving, for instance, fault detection via classification analysis of the output data.

Abstract: Reduction deviations are rendered as dependent coordinate mappings of two-dimensional displacements which characterize restraints associated with deviations of observation sampling measurements from a fitting function. The mappings are considered to be represented by both projections and path coincident deviations. Data inversions are generated as loci and discriminated by criteria corresponding to deviations associated with alternate forms for representing essential weighting. Deficiencies related to nonlinearities and heterogeneous precision are compensated by essential weight factors.

Abstract: An automation control system can be efficiently developed and maintained as a hierarchical arrangement of configured components that pass process control parameters received from a control component and return reports back to the control component. In particular, control components compare a current configuration to a validated, saved configuration in order to report a configuration status as to whether a process can be conducted as validated. Yet, changes to the configuration of the automation control system that do not affect a validated portion do not preclude continued validated processing.

Abstract: The present invention is a method for detecting an abnormal event for process units of a Delayed Coking Unit. The method compares the operation of the process units to statistical and engineering models. The statistical models are developed by principal components analysis of the normal operation for these units. The engineering models are based statistical and correlation analysis between variables. If the difference between the operation of a process unit and the normal model result indicates an abnormal condition, then the cause of the abnormal condition is determined and corrected.

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: A method and apparatus that includes determining differences between a process model and an actual process are used as a diagnostic system for the actual process. The process model includes elements from a design process to provide a “known good” condition for evaluating the differences. Initial input states to the process model are the initial input states to the actual process. Output information correlated to states in the actual process is provided by controls, such as programmable logic controllers, that manage the actual process.

Abstract: An automatic layout method for performing an automatic layout of components on a diagram, the automatic layout method includes: generating a layout engine control object based on an operation of an application program; selecting at least one layout engine object from a plurality of layout engine objects for calculating coordinates of the components by different algorithms, at least one layout engine object being selected based on an instruction of the application program by the layout engine control object; and creating the diagram by the application program based on the coordinates calculated by the selected layout engine object.

Abstract: To accurately control controlled object in a time variant system with a dead time such as a Czochralski method single crystal production device (CZ equipment). The dead time, the time constant, and the process gain value of a controlled object (CZ equipment) (200) are set. The process gain preset value has specified time variant characteristics. An output value y and its first-order and second-order time differentiated values are used as the state variable x of the controlled object (200). A nonlinear state predicting unit (206) predicts a state variable value x(t+Ld) at a future point in time after the dead time, based upon the current output value y, the dead time, the time constant, and the process gain preset value.