Abstract: A machining parameter adjustment system is established in a controller. The controller is connected to a machine. The controller is configured to receive a machining program and analyze at least one process included in the machining program. Also, the controller sets a tuning program corresponding to the process and inserts the tuning program before or after the code of the process, so as to generate an integration program and upload the integration program to the machine.

Abstract: An occupancy-based traffic control system for augmenting traffic control mechanisms corresponding to buildings of one or more building types within a geographic subsector is provided. The system includes, a subsector aggregator, an other facility occupancy estimator, and a subsector processor. The subsector aggregator receives energy consumption and outside temperature streams corresponding to a portion of the buildings, and employs occupancy components to generate average occupancy components corresponding to each building type. The other facility occupancy estimator matches the average occupancy components to remaining ones of the buildings not in the first portion according to building type. The subsector processor uses the first and second aggregated occupancy components modify defaults of traffic control devices based on the occupancy estimate to optimize flow of automotive vehicles.

Abstract: In order to reduce the calculation cost of industrial plant evaluation, an industrial plant evaluation device 5 comprises: a reception unit 51 configured to receive an actual machine manipulated variable in process control of an industrial plant and an actual machine process variable to be controlled by the process control; an estimation unit 52 configured to determine a process variable as an estimated process variable by using a process model defining a mathematical relationship between a manipulated variable and a process variable in the process control, the process variable as the estimated process variable being obtained by substituting the actual machine manipulated variable for the manipulated variable in the process model; and a comparison unit 53 configured to compare the estimated process variable and the actual machine process variable with each other.

Abstract: Methods, mediums, and systems include use of a system manger application in a data processing system to create a replay in a graphical user interface, to receive replay criteria, identify any replay devices, replay sensors, replay actuators, and replay functions corresponding to the replay criteria from among the plurality of devices, sensors, and actuators, identify a replay time period corresponding to the replay criteria, gather replay data for the identified replay devices, replay sensors, replay actuators, or replay functions corresponding to the replay criteria that was generated during the replay time period, and display the replay in the graphical user interface according to the replay data.

Abstract: In a provider network, data indicative of an operational state of the computing devices of the provider network is processed by an inference engine. The inference engine is configured to model operational characteristics of the computing devices of the provider network. The inference engine determines a potential fault condition for one of the computing devices of the provider network. A remedial action is invoked.

Abstract: An aircraft environmental control system (ECS) includes a first valve that is adjustable between a plurality of first positions to open or shut-off a bleed air flow that flows from an inlet of the first valve to an outlet of the first valve. A second valve includes an inlet in fluid communication with the first valve outlet, and is adjustable between a plurality of second positions to throttle the bleed air that flows from the inlet of the second valve to an outlet of the second valve. A valve position sensor outputs a position signal indicating a measured position among the plurality of second positions. A controller is in signal communication with the valve position sensor. The controller is configured to determine a primary effective area of the second valve based on the measured position, and to diagnose operation of the first valve based on the primary effective area.

Abstract: A computer-implemented method for selecting a digital content, comprising: receiving a plurality of samples, each comprises a request having a plurality of values of a plurality of attributes, and associated with a success value for a Bernoulli distributed event having a campaign and a bid rate (BR) of the campaign; clustering the plurality of samples in a plurality of homogenous nodes according to respective plurality of values; identifying a group campaign with a highest valuation for each one of the plurality of nodes using triangular approximation of the Bernoulli distribution of events in the node; receiving a query from a device including a plurality of other values of the plurality of attributes; selecting one of the plurality of nodes; selecting a digital content of the group campaign with highest valuation identified for the selected node; and generating a response to the query including the selected content.

Abstract: An electronic device is provided. The electronic device may include a plurality of electronic circuits comprising a first electronic circuit and a second electronic circuit; and a processor configured to control at least one of the first electronic circuit or the second electronic circuit depending on at least one parameter indicating thermal properties of the first electronic circuit and a predetermined parameter indicating a thermal interdependency between the first electronic circuit and the second electronic circuit.

Abstract: A connection between a user device and a network server is established. Via the connection, a deep learning network is formed for a processing task. A first portion of the deep learning network operates on the user device and a second portion of the deep learning network operates on the network server. Based on cooperation between the user device and the network server, a boundary between the first portion and the second portion of the deep learning network is dynamically modified based on a change in a performance indicator that could affect the processing task.

Abstract: A method includes obtaining a model associated with a model-based controller in an industrial process having multiple actuator arrays and performing temporal tuning of the controller. The temporal tuning includes adjusting one or more parameters of a multivariable filter used to smooth reference trajectories of actuator profiles of the actuator arrays. The temporal tuning could also include obtaining one or more uncertainty specifications for one or more temporal parameters of the model, obtaining one or more overshoot limits for the actuator profiles, identifying a minimum bound for profile trajectory tuning parameters, and identifying one or more of the profile trajectory tuning parameters that minimize one or more measurement settling times without exceeding the one or more overshoot limits. The controller could be configured to use the adjusted parameter(s) during control of the industrial process such that the adjusting of the parameter(s) alters operation of the controller and the industrial process.

Abstract: A trajectory for an autonomous vehicle (AV) can be generated using curvature segments. A decision planner component can receive a reference trajectory for the AV to follow in an environment. A number of subdivisions (frames) of the reference trajectory may be associated with a curvature value and a tangent vector. Starting with an initial position of the AV, a candidate trajectory can be determined by continuously intersecting a segment with an origin at the initial position of the AV and a reference line associated with a particular frame. The reference line can be substantially perpendicular to the tangent vector of the particular frame. A location of the intersection between the segment and the reference line can be based on a curvature value of the segment. Optimizing a candidate trajectory can include varying curvature values associated with various segments and determining costs of the various candidate trajectories.

Abstract: In some embodiments, a system model construction platform may receive, from a system node data store, system node data associated with an industrial asset. The system model construction platform may automatically construct a data-driven, dynamic system model for the industrial asset based on the received system node data. A synthetic attack platform may then inject at least one synthetic attack into the data-driven, dynamic system model to create, for each of a plurality of monitoring nodes, a series of synthetic attack monitoring node values over time that represent simulated attacked operation of the industrial asset. The synthetic attack platform may store, in a synthetic attack space data source, the series of synthetic attack monitoring node values over time that represent simulated attacked operation of the industrial asset. This information may then be used, for example, along with normal operational data to construct a threat detection model for the industrial asset.

Abstract: To simplify determination of drive parameters upon driving a motor for which circuit constants are unknown, and shorten the time required in determination.

Abstract: A system and method to verify software includes a debugger setting a breakpoint in the software. The breakpoint indicates a point at which to pause or stop execution of the software. The method also includes setting one or more anchor points associated with the breakpoint. Each of the one or more anchor points represents another point in the software that must be executed prior to pausing or stopping the execution of the software at the breakpoint.

Abstract: A method includes retrieving process variable values from a multivariable predictive controller. The multivariable predictive controller is executed on an embedded platform and is configured to control an industrial process. The method also includes simulating how the multivariable predictive controller would attempt to control the industrial process based on the process variable values. The method further includes transmitting simulated process variable values to the multivariable predictive controller.

Abstract: A plant control system includes a plant system and a control system controlling the plant system. Runtime conditions of an operating point of the plant control system are received. The runtime conditions include a runtime state of the plant system, a runtime output of the plant system, and a runtime control action applied to the plant system. Reference conditions of a reference point corresponding to the operating point are determined. Stability radius measures of a state difference, an output difference, and a control action difference are computed.

Abstract: A method of Key Performance Indicator (KPI) performance analysis and a dynamic Model Predictive Control (MPC) process model for an industrial process including measured variables (MVs) and controlled variables (CVs) for an MPC controller are provided. The MPC process model includes at least one KPI that is also included in a business KPI monitoring system for the industrial process. A future trajectory of the KPI and a steady-state (SS) value for the KPI are estimated. The future trajectory and SS value are used for determining dynamic relationships between key plant operating variables selected from the CVs and MVs, and the KPI. A performance of the KPI is analyzed including identifying at least one cause of a problem in the performance or exceeding the performance during operation of the industrial process from the dynamic relationships and a current value for at least a portion of the MVs.

Abstract: A container-filling method includes executing a learning phase by starting a filling operation with a filling parameter that was used to start filling of a another product. The learning phase includes the filling element and saving relationships between a filling parameter, such as expected filling time or foam formation, and a value indicative of that filling parameter. The method includes comparing a saved target with this value to see a termination criterion has been achieved. If not, the filling parameter is varied in response to instructions provided by a simulator and the process repeated.

Abstract: A method and an apparatus for data processing in data modeling, where the method includes performing, according to a data transformation function corresponding to a preset data processing category identifier, data transformation on a data column corresponding to each characteristic in original data in order to generate a corresponding extended characteristic column, combining extended characteristic columns corresponding to all the characteristics in the original data in order to generate an extended characteristic set, determining a correlation coefficient of each characteristic in the extended characteristic set, selecting a characteristic whose correlation coefficient satisfies a specified condition as an important characteristic, and obtaining, by screening from the extended characteristic set, a data column corresponding to the important characteristic.

Abstract: Systems and approaches for error detection detect discrepancies in industrial equipment by comparing a particular asset to similar industrial assets running in parallel to the particular asset. An error detection unit detects a difference between an estimated and actual output of the asset. Based on the magnitude of the difference, the error detection unit determines whether an input value of the particular asset is similar to input values of the plurality of industrial assets and whether an output value of the particular asset is similar to output values of the plurality of industrial assets. If the input value of the particular asset is similar to the input values of the plurality of industrial assets and the output value of the particular asset is not similar to the output values of the plurality of industrial assets, then the error detection system sets an alarm.

Abstract: Computer implemented method for detecting a hand gesture of a user, comprising: (a) Receiving sequential logic models each representing a hand gesture. The sequential logic model maps pre-defined hand poses and motions each represented by a hand features record defined by discrete hand values each indicating a state of respective hand feature. (b) Receiving a runtime sequence of runtime hand datasets each defined by discrete hand values scores indicating current state hand features of a user's moving hand which are inferred by analyzing timed images depicting the moving hand. (c) Submitting the runtime hand datasets and the pre-defined hand features records in SSVM functions to generate estimation terms for the runtime hand datasets with respect to the hand features records. (d) Estimating which of the hand gestures best matches the runtime sequence depicted in the timed images by optimizing score functions using the estimation terms for the runtime hand datasets.

Abstract: A control system is configured to operate a multiple-input system to achieve an optimal value for a performance variable of the multiple-input system. The control system includes a mapper configured to generate a mapping from a first number of manipulated variables to a second number of latent variables. The second number is smaller than the first number and each of the latent variables includes a linear combination of the manipulated variables. The control system also includes an extremum-seeking controller configured to receive the performance variable from the multiple-input system as a feedback and modulate values of the second number of latent variables to drive the performance variable to the optimal value. The mapper is further configured to use the mapping to translate modulated values of the second number of latent variables to modulated values of the first number of manipulated variables and provide the modulated values of the first number of manipulated variables to the multiple-input system.

Abstract: Embodiments relate to a predictor device for controlling at least one actuating variable of a plant having at least one actuator, which can be controlled by the actuating variable, and a state with at least one controlled variable that can be detected by a sensor. The predictor has an adaptation device and an L1-adaptive control apparatus. The predictor has a state modelling device for estimating a behavior of the plant and outputs an estimated state with at least one estimated variable. The embodiments relate to an aircraft with such a control device for flight control. The embodiments also relate to an L1-adaptive control method using an L1-adaptive control apparatus, an adaptation device generating a matched uncertainty signal and an unmatched uncertainty signal, and a predictor having a state modelling device. The embodiments relate to an aircraft with a control device for flight control, which executes such a method.

Abstract: The invention that relates to the field of hydropower scheduling presents a method for long-tens optimal operations of interprovincial hydropower system considering peak-shaving demands. It can take full advantage of the differences of hydrological characteristics among hydropower plants on different rivers to implement compensation operations of interprovincial hydropower system. In this operation, typical daily load demands during dry season are considered to optimize the allocation of hydropower production over one year. The purpose is to increase the dispatchable generation capacity for peak demands of power grids. The technology scheme of the invention can be summarized as follows. A multi-objective model of hydropower system operations is established with maximizing generation production and minimizing the difference rate between peak and valley load during dry period.

Abstract: A refinery or petrochemical plant may include a fractionation column and related equipment, such as one or more condensers, receivers, reboilers, feed exchangers, and pumps. The equipment may have boundaries or thresholds of operating parameters based on existing limits and/or operating conditions. Illustrative existing limits may include mechanical pressures, temperature limits, hydraulic pressure limits, and operating lives of various components. There may also be relationships between operational parameters related to particular processes. For example, the boundaries on a naphtha reforming reactor inlet temperature may be dependent on a regenerator capacity and hydrogen-to-hydrocarbon ratio, which in turn may be dependent on a recycle compressor capacity. Operational parameters of a final product may be determined based on actual current or historical operation, and implemented in one or more models to determine adjustments for enhanced operational efficiency.

Abstract: In one embodiment, a model predictive control system for an industrial process includes a processor to execute an optimization module to determine manipulated variables for the process over a control horizon based on simulations performed using an objective function with an optimized process model and to control the process using the manipulated variables, to execute model modules including mathematical representations of a response or parameters of the process. The implementation details of the model modules are hidden from and inaccessible to the optimization module. The processor executes unified access modules (UAM). A first UAM interfaces between a first subset of the model modules and the optimization module and adapts output of the first subset for the optimization module, and a second UAM interfaces between a second subset of the model modules and the first subset and adapts output of the second subset for the first subset.

Abstract: The invention relates to a method for controlling a thermal cyclic process, in particular an Organic Rankine Cycle (ORC), which is operated with a working medium in conjunction with a dynamic heat source, whereby the method comprises the following steps: (a) determination of a setpoint value of a process variable of the thermal cyclic process from a value of an input parameter or respective values of a plurality of input parameters of the thermal cyclic process; (b) control of the thermal cyclic process with the determined setpoint value of the process variable as a target variable of the control; and (c) repeated execution of steps (a) and (b) when at least one value of the input parameters changes.

Abstract: In a temperature estimation method, a rotational speed of a spindle is acquired. Moreover, a temperature rise table and a temperature fall table are used to calculate a temperature of a bearing from the rotational speed of the spindle every time a fixed time elapses. The temperature rise table stores in an associated manner the rotational speed of the spindle and a temperature rise of the bearing due to rotation of the spindle in a predetermined fixed time. The temperature fall table stores in an associated manner the temperature of the bearing and a temperature fall of the bearing due to heat dissipation in the fixed time.

Abstract: An approach and system for robust constraints handling for measured disturbances with uncertain preview on a prediction horizon in model predictive control with application in automotive control systems A constraints handling system may incorporate a mechanism for measuring disturbances of automotive control subsystems, a model predictive controller that provides model predictive control, connected to the a mechanism for measuring disturbances, and a sensor subsystem that collects information about an uncertainty of measured disturbances. The disturbances may have an uncertain preview over a prediction horizon. Estimates for the disturbances may be made of the preview.

Abstract: A system for generating three dimensional objects that include an image, and methods for manufacturing and using same. Some embodiments include an elongated line for generating a three dimensional object via additive manufacturing having an image defined by a pixel array, where the line includes a plurality of discrete pixels disposed along the length of the line, the pixels configured to generate the pixel array. Other embodiments include an extruder system configured to extrude a line.

Abstract: Systems and methods for evaluating closed-loop control systems are disclosed. In one embodiment, a method of evaluating a control system includes determining, using a processing device, one or more convergence classifier functions from a closed-loop model, wherein the one or more convergence classifier functions convey convergent behavior of the closed-loop model over a pre-determined period of time. The method further includes generating, using the processing device, a plurality of test cases of an input space of the closed-loop model under evaluation, and determining, using the processing device, whether one or more individual test cases of the plurality of test cases do not satisfy the one or more convergence classifier functions.

Abstract: A machine learning device is configured to perform machine learning with respect to a servo motor control device including a non-linear friction compensator that creates a compensation value with respect to non-linear friction on the basis of a position command, the machine learning device including: a state information acquisition unit configured to acquire state information including a servo state including position error, and combination of compensation coefficients of the non-linear friction compensation unit, by causing the servo motor control device to execute a predetermined program; an action information output unit configured to output action information including adjustment information of the combination of compensation coefficients; a reward output unit configured to output a reward value in reinforcement learning, based on the position error; and a value function updating unit configured to update an action value function on the basis of the reward value, the state information, and the action info

Abstract: A multi-circuit refrigeration system includes a first plurality of compressors, a second plurality of compressors, and a control panel. The control panel is configured to receive an input related to humidity from a humidity sensor or humidistat. Based on the input, the control panel is configured to sequence operation of the first plurality of compressors and the second plurality of compressors between a balanced mode and a clustered mode. In the balanced mode, a first compressor of the first plurality of compressors and a first compressor of second plurality of compressors are energized before a second compressor of the first plurality of compressors or a second compressor of the second plurality of compressors is energized. In the clustered mode, the first compressor and the second compressor of the first plurality of compressors are energized before the first compressor or the second compressor of the second plurality of compressors is energized.

Abstract: A control system configured to control a parameter of a dynamic system, wherein the parameter depends on an output signal. The control system comprises a set-point generator and a feedforward, wherein the set-point generator is arranged to provide a set-point signal to the feedforward. The feedforward is arranged to provide the output signal based on the set-point signal, wherein the feedforward is arranged to perform a non-linear operation on the set-point signal. The non-linear operation is based on a non-linear functional relationship between the output signal and the parameter.

Abstract: To provide a start-up control device and a start-up control method for a power plant capable of changing the start-up completion estimated time to a desired time simply and safely while starting the power plant.

Abstract: The disclosure relates to a method for determining a switching function for a sliding mode controller for controlling a controlled variable of a system, the switching function being selected as a function of a control deviation of the controlled variable and its time derivatives up to at least the second order and on the basis of initial control dynamics of the system, coefficients of the switching function being represented by means of poles of a closed control loop of the system, the poles each being selected as a function of the control deviation, and desired control dynamics of the system being set by shifting at least one first pole of the poles, and to such a sliding mode controller and to a use of such a controller.

Abstract: A control system configured to control a parameter of a dynamic system, wherein the parameter depends on an output signal. The control system comprises a set-point generator and a feedforward, wherein the set-point generator is arranged to provide a set-point signal to the feedforward. The feedforward is arranged to provide the output signal based on the set-point signal, wherein the feedforward is arranged to perform a non-linear operation on the set-point signal. The non-linear operation is based on a non-linear functional relationship between the output signal and the parameter.

Abstract: Modeling of a physical system encompassing a plurality of physical domains and comprising a multi-domain physical component participating in a process of a first and at least a second physical domain is provided. A first block representing the multi-domain physical component in a first hierarchical level modeling the first physical domain and at least one second block representing the first block in at least one second hierarchical level modeling the at least second physical domain are provided in a hierarchically-arranged block diagram model representative of the physical system. The at least one second block is connected to at least one of one or more third blocks provided at the at least one second hierarchical level and receives first information therefrom and is linked to the first block for transmitting the first information to the first block and transmitting second information from the first block to the third blocks.

Abstract: A method comprising: collecting a plurality of probe data from a plurality of probe points by a probing device, said probe data comprising at least positional information, a speed vector and a direction of travel of the probing device and a timestamp of recording the probe data at a probe point; and estimating a trajectory of the probing device between two consecutive probe points as a cubic Hermite spline having the positions of said two consecutive probe points as control points and the speed vectors of said two consecutive probe points as control vectors.

Abstract: A method for controlling a temperature of a building using a building thermal model of the building in a model predictive control (MPC) system includes measuring the temperature and a rate of change of temperature for at least one zone that is included in the building thermal model so as to determine an error from a temperature and rate of change of temperature that is predicted by the MPC system. Possible causes of the error and a probability of each of the possible causes of error occurring are determined. An impact of each of the possible causes is evaluated so as to identify at least one of the possible causes which would reduce the error. The building thermal model is adapted based on the at least one identified possible cause and the temperature of the building is controlled using the adapted building thermal model in an MPC controller.

Abstract: An article of manufacture including a tangible, non-transitory computer-readable storage medium having instructions stored thereon for detecting a fault in a gas turbine engine that, in response to execution by a controller, cause the controller to perform operations comprising receiving, by the controller, a first data output from a first flight data source; receiving, by the controller, a second data output from a second flight data source; determining, by the controller, a first flight realm of the first data output based on the second data output; identifying, by the controller, a fault threshold using a first parameter of the first flight realm; and comparing, by the controller, the first data output to the fault threshold.

Abstract: A computer-implemented method for automatically exchanging data between a piping and instrumentation diagram (P&ID) and a control system comprises: parsing a P&ID and identifying instruments and/or groups of instruments within the P&ID, identifying one or more input tags and output tags associated with each identified instrument and/or with each identified group of instruments within the P&ID, and establishing at least one relationship among the one or more input tags and output tags, wherein the input tags and output tags for an instrument and/or a group of instruments and the at least one relationship between the corresponding input tags and output tags are derivable from a template library, and identifying a control loop for each established relationship among the input tags and the output tags, wherein said control loop is for controlling one or more instruments by the control system.

Abstract: Devices and methods related to a grid-connected RES power plant are provided. A device can include a controller configured to: apply a logarithmic barrier function using natural logarithm to a general primal and dual linear programming function; select a point comprising a point in real space, a Lagrangian multiplier, and a slack variable, such that the point in real space is feasible for positive primal solution and both the Lagrangian multiplier and slack variable are feasible for a dual solution; and iteratively solve for an optimal solution for allocation of renewable energy into a grid-connected RES power plant.

Abstract: A fault prediction system includes a machine learning device that learns conditions associated with a fault of an industrial machine. The machine learning device includes a state observation unit that, while the industrial machine is in operation or at rest, observes a state variable including, e.g., data output from a sensor, internal data of control software, or computational data obtained based on these data, a determination data obtaining unit that obtains determination data used to determine whether a fault has occurred in the industrial machine or the degree of fault, and a learning unit that learns the conditions associated with the fault of the industrial machine in accordance with a training data set generated based on a combination of the state variable and the determination data.

Abstract: A method controls an operation of a laser processing machine with redundant actuators including a first actuator and a second actuator. The method determines a feasible region for states of the first actuator and states of a reference trajectory of the first actuator defined by constraints of the laser processing machine, constraints on the reference trajectory and constraints on a range of motion of the second actuator. The method selects a subset of the feasible region, such that for any state of the first actuator and any state of the reference trajectory within the subset, there is an admissible control maintaining the state of the first actuator within the subset of the feasible region for admissible future states of the reference trajectory, and selects an admissible control action for controlling the operation such that the state of the first actuator remains in the subset of the feasible region.

Abstract: Update preferences might be utilized to specify that an update to an application should not be applied until the demand for the application falls below a certain threshold. Demand for the application is monitored. The update to the application is applied when the actual demand for the application falls below the specified threshold. The threshold might be set such that updates are deployed during the off-peak periods of demand encountered during a regular demand cycle, such as a diurnal, monthly, or yearly cycle.

Abstract: The present disclosure relates to a method and system for estimating varying step length for on foot motion (such as for example walking or running). The present method and apparatus is able to be used in anyone or both of two different phases depending on the embodiment. The first phase is a model-building phase done offline to obtain the nonlinear model for the step length as a function of different parameters that represent human motion dynamics, the model is built using a nonlinear system identification technique. In the second phase the nonlinear model is used to calculate the step length from the different parameters that represent human motion dynamics used as input to the model. These parameters are obtained from sensors readings from the sensors in the apparatus. This second phase is the more frequent usage of the present method and apparatus for a variety of applications.

Abstract: Methods operate a plant set up for performing at least one chemical reaction, wherein said method comprises providing process reactors of optimal technical and economic suitability for forming the production plant and wherein this providing operation comprises selecting in at least partially automated fashion the process reactors of optimal technical and economic suitability for forming the production plant from a multiplicity of process reactors taking account of reactor-specific technical parameters assigned to the process reactors of the multiplicity of process reactors and recorded in a database and of predefined process-specific technical criteria by performing at least one selection step for each process reactor of the multiplicity of process reactors which comprises verifying whether at least one reactor-specific technical parameter assigned to this process reactor and/or at least one process-specific and reactor-specific technical target value derived from at least one reactor-specific technical param

Abstract: Inventory is managed to minimize the footprint of storage spaces affected by variable production volumes and high inventory turnover. A warehouse includes a plurality of storage spaces for storage of items in the inventory. In response to receiving a request to store or retrieve a particular item, a recommended storage space in the warehouse can be determined for the particular item. The determination can be at least partially based on one or more user-defined facts, one or more user-defined rules, and a current state of the warehouse at the time the item location request is received. The user-defined facts can relate to an item, the inventory, the plurality of storage spaces, and/or the warehouse. The user-defined rules can be configured to dynamically assign storage spaces to the warehouse based at least partially on user-defined indications of how items will be consumed during a workflow performed within the warehouse.

Abstract: A method facilitates simulating a plurality of circuit elements connected to a multiport interconnect structure having a first set of ports. The method includes: receiving a first set of data that models electrical behavior of the first set of ports and a first portion of the plurality of circuit elements; determining a first subset of the first data, which models electrical behavior of a set of exposed ports of the first set of ports, and a second subset of the first data, which models electrical behavior of a set of non-exposed ports of the first set of ports and the first portion of the plurality of circuit elements; and combining the second subset of the first data into the first subset of the first data to generate a second set of data that models electrical behavior of a second interconnect structure having fewer ports than the multiport interconnect structure.