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

Abstract: An MPC adaptation and tuning technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC adaptation/tuning technique that performs better than traditional MPC techniques in the presence of process model mismatch. The MPC controller performance is enhanced by adding a controller adaptation/tuning unit to an MPC controller, which adaptation/tuning unit implements an optimization routine to determine the best or most optimal set of controller design and/or tuning parameters to use within the MPC controller during on-line process control in the presence of a specific amount of model mismatch or a range of model mismatch.

Abstract: A controlling device that includes a model that predicts the value of a measured signal obtained when an operation signal is given to a thermal power generation plant, a function that learns a method of generating a model input such that a model output satisfies the plant value, a function that determines an operation signal to be given to the plant according to the learning result, a database that stores measured signal limit values set in advance, an external input interface that fetches measured signals from the plant, a measured signal database that stores the values of the fetched measured signals, and a function that determines an initial value of the plant model output value by using limit values of the measured signals and at least one of an average value, a maximum value, and a minimum value that are calculated from the measured signals stored in a measured signal database.

Abstract: An actuator drive control apparatus is equipped with a movement distance setting means for setting a movement distance of a displaceable member, a movement time setting means for setting a movement time, a target value calculating means for calculating a target value of a displacement amount or a displacement velocity of the displaceable member at an arbitrary timing based on the movement distance and the movement time, and a drive controller for generating driving power based on the displacement amount or the displacement velocity target value of the displaceable member and sending the drive power to an actuator.

Abstract: Apparatus and method for monitoring a vapor deposition installation in which a gas mixture can undergo gas phase nucleation (GPN) and/or chemically attack the product device, under process conditions supportive of such behavior. The apparatus includes a radiation source arranged to transmit source radiation through a sample of the gas mixture, and a thermopile detector assembly arranged to receive output radiation resulting from interaction of the source radiation with the gas mixture sample, and to responsively generate an output indicative of onset of the gas phase nucleation and/or chemical attack when such onset occurs. Such monitoring apparatus and methodology is useful in tungsten CVD processing to achieve high rate tungsten film growth without GPN or chemical attack.

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

Abstract: A method for building robust model predictive controller universally applicable is presented based on the innate process characteristics independent of the method of control actuation. The method of universal MPC design permits proper configuration of requisite regulatory control loops for measured and unmeasured disturbance rejections consistent with the underlying innate process characteristics and their embedding within the overall process unit model predictive controller. The method of universal MPC design requires that manipulated variables process value based model (PV-based models) be used in control and optimization in place of the customary set point based models (SP-based models) or control output based models (OP-based models). The PV-based models are devoid of the manipulated variables regulatory controllers response and tuning. Based on the PV-based models, an alternate method of MPC called PV-based MPC is presented that is most robust and adaptable of possible three types of MPC.

Abstract: A computer system and computer program product for optimizing an aspect of an Information Technology (IT) structure of an IT system. The aspect of the IT structure is optimized with respect to at least one control parameter. The IT structure includes a plurality of elements. Each element independently is a hardware element, a software element, or a combination of a hardware element and a software element. Each control parameter has a value that is specific to each element of the IT structure.

Abstract: An information processing apparatus includes a device detecting section that detects a heating device provided in a housing; a device determining section that determines the type of the heating device detected by the device detecting section; a sensor selecting section that selects a predetermined one of a plurality of temperature sensors provided in the housing in accordance with existence/absence of the heating device and the type of the heating device; and a fan controlling section that controls the number of rotations of a cooling fan provided in the housing in accordance with a measured temperature of the temperature sensor selected by the sensor selecting section.

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

Abstract: A method of adjusting operating parameters of a robot to move an effector tool along a given path in an optimum cycle time including a step of modifying operating parameter values to cause the cycle time to approach a optimal value wherein the parameters are modified so as to approach an extremum of a compromise function including at least first and second terms, the first term being a function of a cycle time and the second term being a function of at least one of temperature and degree of wear of an actuator.

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

Abstract: A system for controlling a machine includes a first controller, a second controller, and a comparator. During a first cycle, the first controller generates a control signal to the machine while the second controller generates a predicted parameter signal. During the first cycle, the comparator transmits a feedback signal to the second controller if a predetermined threshold is not met. A method for controlling a machine includes transmitting a control signal from a first controller to the machine and generating a predicted parameter value in a second controller. The method further includes transmitting a feedback signal to the second controller if a predetermined threshold is not met.

Abstract: A system for operating a process includes a processing circuit that uses a self-optimizing control strategy to learn a steady-state relationship between an input and an output. The processing circuit is configured to switch from using the self-optimizing control strategy to using a different control strategy that operates based on the learned steady-state relationship.

Abstract: A method and system of active power reserve regulation in a wind farm with a communication network having a plurality of wind turbines that provide an active power reserve in order to support eventual power grid contingencies and to deliver an increase of power in case it is needed.

Abstract: A control method for tracking a provided reference signal in a dynamical system. The control method includes a control function for controlling a controlled element of the dynamical system, wherein the control function outputs a control signal depending on the reference signal indicating a desired setting of the controlled element and a feedback signal indicating an actual state of the controlled element. An internal state of the control function is modified at one or more discrete time instants while applying the control function at time periods not including the discrete time instants. The modification of the internal state depends on a signal external to the control function.

Abstract: Controller scaling and parameterization are described. Techniques that can be improved by employing the scaling and parameterization include, but are not limited to, controller design, tuning and optimization. The scaling and parameterization methods described here apply to transfer function based controllers, including PID controllers. The parameterization methods also applies to state feedback and state observer based controllers, as well as linear active disturbance rejection controllers.

Abstract: In an air-conditioning system controller provided with a central control unit and a local control unit, the central control unit includes a heat source machine measurement system for measuring an input/output state of a heat source machine, a setting unit for setting air-conditioning condition data on air-conditioning object spaces, an outdoor air measurement system for measuring outdoor air condition data, a total air-conditioning load operating unit, an optimal operating state estimation unit, and a heat source machine control. The total air-conditioning load operating unit calculates a total air-conditioning load or a heat exchange rate of the heat source machine based on chilled water inlet and outlet temperatures and chilled water flow rate of the heat source machine.

Abstract: A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.

Abstract: A method and apparatus controls a plant using feedback signals. A procedural description of a feedback control process for the plant is translated into a set of objects, wherein each object is a portion of the procedural description, wherein each object is a strictly-encapsulated and autonomous software module, wherein the objects execute in a platform, and wherein the platform includes a set of nodes embedded in the plant and each node includes a processor. A feedback signals is generated by passing messages between the set of the objects in response to an operation of the plant.

Abstract: Information indicative of the placement of spindle motor components may be obtained and used to provide a correction to one or more BEMF-derived attributes used to control the spindle speed. In some implementations, first and second signals indicative of BEMF of different stator windings may be used to determine a speed-related characteristic. The speed related characteristic may be used to determine an error amount, which may be used to determine a correction factor to control the speed of the spindle motor.

Abstract: Methods and apparatus for controlling load on a machine are provided. The method includes determining a maximum value of a process variable using a predictive model of the machine while holding a control output associated with the process variable substantially constant over a prediction period, incrementing the control output if the determined maximum value of the process variable is within an allowable limit range, and setting the control output to the last value of the process variable that did not cause the process value to exceed the allowable range.

Abstract: A system, method and computer program are provided for controlling and optimizing the operation of a process having a plurality of independently controlled, manipulated variables and at least one controlled variable dependent on the manipulated variables. The system, method and program input specified constraints for a linear program optimizer to target, calculate a set of objective function coefficients based on the inputted specified constraints, and generate a plurality of combinations of manipulated and controlled variables. The system, method and program also test each generated combination for changed values that cause the linear program optimizer to target different constraints than the inputted specified constraints, and adjust the calculated set of objective function coefficients so that the linear program optimizer targets the specified constraints.

Abstract: A robot localization system is provided. The robot localization includes a robot, which moves within a predetermined space and performs predetermined tasks, and a docking station corresponding to a home position of the robot. The docking station includes a first transmitting unit, which transmits a sound wave to detect a position of the robot; and a second transmitting unit, which transmits a synchronizing signal right when the sound wave is transmitted.

Abstract: This disclosure relates to a system and method for detecting sensor failure and controlling a machine. The system includes a plurality of physical sensors, an electronic control module operably connected to the plurality of physical sensors, and a data storage unit operably connected to the electronic control module. The electronic control module is configured to retrieve calibration data associated with a plurality of input parameters, obtain a set of values of the plurality of input parameters, calculate a Mahalanobis distance of the set of values of the input parameters based on the calibration data, increment an evidence score of an input parameter if the Mahalanobis distance exceeds a threshold Mahalanobis distance value; and command a machine action when the evidence score of an input parameter exceeds an threshold evidence score value.

Abstract: A system for controlling a machine includes a first controller, a second controller, and a comparator. During a first cycle, the first controller generates a control signal to the machine while the second controller generates a predicted parameter signal. During the first cycle, the comparator transmits a feedback signal to the second controller if a predetermined threshold is not met. A method for controlling a machine includes transmitting a control signal from a first controller to the machine and generating a predicted parameter value in a second controller. The method further includes transmitting a feedback signal to the second controller if a predetermined threshold is not met.

Abstract: A system for performing statistical process control. A storage device stores a plurality of SPC charts, specifying data collected from a system during testing. A controller categorizes the SPC charts into a plurality of groups based on characteristics thereof. A detector determines whether the charts in any of the groups violate a preset rule. An alarm generator generates alarm information identifying the chart violating the rule.

Abstract: Methods and systems are described for conserving energy used by an energy consuming device. In certain embodiments, an energy conservation system can be configured to deliver energy to the energy consuming device for a period, followed by a period where energy delivery is dampened and/or cut. By cycling the delivery of energy in this fashion, the energy conservation can achieve a pulsed efficiency.

Abstract: A method for controlling a multivariable system according to one non-limiting embodiment includes receiving a plurality of limits, receiving a first quantity of goals each having a desired value, and receiving sensor feedback. The method further includes estimating a basepoint in response to the first quantity of goals, the plurality of limits, and the sensor feedback, wherein the basepoint includes a set of values corresponding to an equilibrium point at which a predetermined amount of enabled limits are met and a second quantity of goals are fulfilled according to a goal prioritization scheme. Actuator requests are transmitted to a controlled system in response to the estimated basepoint. Predicted values from a mathematical model are compared to the sensor feedback, and the estimated basepoint is selectively adjusted in response to a difference between the predicted values and the sensor feedback in order to reduce the difference.

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

Abstract: System and method for controlling at least one device such as for example an operator for a door, a gate, a window, blinds, shutters, a curtain, an awning or a light source including a controllable unit associated with the at least one device and a plurality of nodes for transmitting control signals to the at least one controllable unit. The at least one of the plurality of nodes for transmitting control signals is configured for transmitting a signal imposing a limit for at least one parameter for the device. Further, the controllable unit is configured for registering the limit and establishing a resulting limit for the parameter.

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 system for resource usage optimization employs an automatically controlled sensor suite providing data to a computer system for the analysis of spatial relationships of the sensors and resources. A control module incorporates an interactive logic, in an exemplary embodiment of well-stream coupled dynamic or game theory engines, operating in conjunction with the spatial data processing algorithms, GIS in an exemplary embodiment, receives as an input an objective function set for the use of the resource and constraint sets which are then monitored by the sensor suite.

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: Processing a wafer using a double side grinder having a pair of grinding wheels. Warp data is obtained by a warp measurement device for measuring warp of a wafer as ground by the double side grinder. The warp data is received and a nanotopography of the wafer is predicted based on the received warp data. A grinding parameter is determined based on the predicted nanotopography of the wafer. Operation of the double side grinder is adjusted based on the determined grinding parameter.

Abstract: An industrial process device for monitoring or controlling an industrial process includes a first input configured to receive a first plurality of samples related to a first process variable and a second input configured to receive a second plurality of samples related to a second process variable. Compensation circuitry is configured to compensate for a time difference between the first plurality of samples and the second plurality of samples and provide a compensated output related to at least one of the first and second process variables. The compensated output can comprise, or can be used to calculate a third process variable. The third process variable can be used to monitor or control the industrial process.

Abstract: Methods, apparatuses and systems that facilitate the design, production and/or measurement tasks associated with manufacturing and other processes. In one embodiment, the present invention provides an understanding of how the multiple characteristics of a given process output are related to each other and to process inputs. This knowledge facilitates a reduction in measurement costs. It also facilitates an understanding of the sometimes complex interrelationships between design targets, design tolerances, process inputs, process control variables, average process output and variation in the process output. As disclosed in more detail below, embodiments of the present invention facilitate 1.) determination of design target values, 2.) determination of design application limits, 3.) design of process inputs, 4.) determination of process control variable settings, and/or 5.) reduction of measurement costs.

Abstract: A controller and corresponding method for operating a machine maintains a historical database including at least one sequence of parameters relating to the operating environment, corresponding actions taken, and corresponding outcomes of operation of the machine. The controller searches the database for episodes satisfying relevance criteria relative to a current sequence of parameters and then performs a randomized selection between two or more options, at least one of which is derived from similar episodes from the database. At least one control signal is then output to the machine indicating an action to be performed as determined based on the selected option.

Abstract: Methods, systems and apparatus for optimizing consumption of one or more resources are presented. For example, a method that may be implemented on a processor device and includes obtaining user preferences for the consumption of resources that include water and electricity, predicting the consumption of, and a first metric for the consumption of, the resources for each of a plurality of first time periods, determining a projected second metric for the consumption of the resources during a second time period according to the predicted consumption and the predicted first metric, and optimizing the consumption of the resources according to the projected second metric and the user preferences. The second time period includes the plurality of first time periods. The first metric is associated with the user preferences and at least one of the plurality of first time periods. The second metric indicates full or partial projected attainment of the preferences during the second time period.

Abstract: A field device for determining or monitoring a physical or chemical variable, comprising a sensor, which works according to a defined measuring principle, and a control/evaluation unit, which, as a function of a required safety standard for a particular safety-critical application, conditions and evaluates along at least two equivalent measuring paths measurement data delivered by the sensor. The control/evaluation unit is implemented on an application-specific integrated circuit—an ASIC—which, in at least a first section and in a second section, is embodied as a dynamically reconfigurable logic chip. In each of the two sections, in each case, a measuring path composed of a plurality of function modules can be configured; wherein the individual sections are spaced apart from one another in such a manner, that a temperature and/or a voltage change in one of the sections has no influence on the other section or the other sections.

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: A process model specified using, for example, UML activity diagrams can be translated into an event-based model that can be executed on top of a coordination middleware. For example, a process model may be encoded as a collection of coordinating objects that interact with each other through a coordination middleware including a shared memory space. This approach is suitable for undertaking post-deployment adaptation of process-oriented composite applications. In particular, new control dependencies can be encoded by dropping new (or enabling existing) coordinating objects into the space and/or disabling existing ones.

Abstract: The present invention relates to a control system, method and computer program product to control a process having a large dead time. An exemplary process controllable by embodiments according to the invention is the glass manufacturing process, where fuzzy logic is used to control a level of molten and melting raw materials in a furnace during a glass-manufacturing process by controlling the rate at which raw materials enter the furnace.

Abstract: Methods, apparatuses and systems that facilitate the design, production, control and/or measurement tasks associated with manufacturing and other processes. In one implementation, the present invention facilitates or enables the use of indirect process variables for use in manufacturing or other processes that yield articles or parts. For example, it enables determining a desired value profile for an indirect process variable based on the operating target, the lower operating limit and the upper operating limit for the predictor characteristic, and observations of the process. In one implementation, the present invention facilitates qualifying articles resulting from the process by comparing the desired versus observed value profiles for an indirect process variable. In another implementation, the present invention facilitates controlling a direct process variable based on the observed versus desired values of an indirect process variable.

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

Abstract: A method for running in a drive train component of a wind energy plant, wherein the wind energy plant has an operation management which can control at least one operational variable B significant for the strain of the drive train component to a desired value BS, wherein after starting up the drive train component, the desired value BS is limited by a maximum value BMax, which is preset depending on a yield value W which describes the yield of the wind energy plant achieved since starting up the drive train component.

Abstract: A system and method are provided for controlling temperature of a batch fermenter in a biofuel production process. A nonlinear predictive integrating temperature model for a batch fermentation process is provided that is a function of fermenter level. An objective for the batch fermentation process specifying a target fermenter temperature for the batch fermentation process is received, as is process information for the batch fermentation process, including fermenter level and fermenter temperature. The nonlinear predictive integrating temperature model is executed in accordance with the objective using the process information as input to determine target values for manipulated variables for controlling fermenter temperature of the batch fermentation process. The fermenter temperature for the batch fermentation process is controlled in accordance with the target values to produce biofuel in accordance with the objective, to substantially optimize the end of batch biofuel yield.

Abstract: A method and an apparatus for controlling a distributed automation system, wherein the method comprises determining global constraint rules according to the cooperative relationships between function blocks in the distributed automation system, and establishing a mathematical model based on Membrane Calculus, performing the instantiation of the established mathematical model based on Membrane Calculus according to an executor corresponding to each of the function blocks in the distributed automation system, so as to produce control logics for output to the distributed automation system. If disturbance information is received from the distributed automation system, altering the parameters of the instantiation of the mathematical model based on Membrane Calculus are altered using the disturbance information, so as to produce control logics for outputting to said distributed automation system.

Abstract: Enables minimisation of steady-state objective function P(z?), subject to a set of constraints zmin?z??zmax, and under the assumption that the values of the state vector, z, at different points in time related via a model expressed in dynamic open equation format Q(z?, zk, zk-1, zk-2, . . . , zk-n)=0, where z? is predicted final value of state vector, z, and zk, zk-1, zk-2, . . . , zk-n are current and previous values of state vector, z. Determines optimum operation of an industrial process having steady-state objective function P(z?), including: receiving outputs from the process; minimising steady-state objective function P(z?) subject to set of constraints zmin?z??zmax; wherein values of state vector at different times are related via model of form Q(z?, zk, zk-1, zk-2, . . . , zk-n)=0; to minimise objective function P(z?). Industrial process to be optimised may include measured and unmeasured process variables.

Abstract: Methods and apparatus for monitoring and detecting failures in the actuation of a control system, such as a flight control system for an aircraft, include defining a nominal model of the control system in terms of the state variables of the control system, defining a model of an asymmetric “actuation monitoring envelope” that dynamically bounds a range that measured state variables of the system are allowed to take during operation of the system as a function of the nominal system state model, monitoring a signal corresponding to a state variable of the system during operation thereof, and detecting a failure in the actuation of the control system when the monitored signal exceeds the bounds of the monitoring envelope.