The Mathworks, Inc.

Fu Zhang

Pieter Johannes Mosterman

Murali K Yeddanapudi

Zhi Han

John Edward Ciolfi

Haihua Feng

Tao Cheng

Ebrahim Mehran Mestchian

Robert Olson Aberg

Joan Wortman

Ramamurthy Mani

William James Aldrich

Srinath Avadhanula

Yu Jiang

Alongkrit Chutinan

Qu Zhang

Denizhan N Alparslan

Richard Hyde

Jing Xu

Zhuohua Shen

Guy Rouleau

A method and system automatically generates a display of symbolic equations from a graphical model (or vice versa) which is readable, parametric, and interactive.

Systems and methods for interactive display of symbolic equations extracted from graphical models

A model including a first co-simulation component and a second co-simulation component is analyzed. During execution of the model, the first co-simulation component outputs data to the second co-simulation component via a connection. The connection is declared as a continuous-time rate connection for input of the data into the second co-simulation component. Based on analyzing the model, the connection is identified as a discrete-continuous sample time connection based on data being communicated from the first co-simulation component to the second co-simulation component via the connection at a discrete-time rate when the model is executed in a co-simulation manner.

Systems and methods for co-simulation

Systems and methods may highlight paths through graphical models having executable semantics. Paths through a model leading from a starting location and terminating at final source and/or destination model elements may be identified. The paths may be highlighted. A model may include hierarchical levels, and the highlighting may be extended into lower or higher hierarchical levels relative to a current level. A model may execute over a plurality of simulation time steps, and the highlighting may indicate model elements executing in a given simulation time step.

Systems and methods for highlighting graphical models

Systems and methods automatically construct a realization of a model from an available set of alternative co-simulation components, where the realization meets one or more objectives, such as fidelity, execution speed, or memory usage, among others. The systems and methods may construct the realization model by setting up and solving a constrained optimization problem, which may select particular ones of the alternative co-simulation components to meet the objectives. The systems and methods may configure the realization, and execute the realized model through co-simulation. The systems and methods may employ and manage different execution engines and/or different solvers to run the realization of the model.

Systems and methods for automatically realizing models for co-simulation

A device may receive data associated with executing a model. The data may be associated with a solver used during execution of the model. The device may determine a presentation order of a plurality of model items based on the data associated with executing the model. The solver may be used to determine values associated with the plurality of model items. The presentation order of the plurality of model items may be determined based on a plurality of factors. The plurality of factors may be associated with the values. The device may generate a graphical interface that indicates the presentation order of the plurality of model items. The device may provide the graphical interface. The graphical interface may provide, for display, a list of the plurality of model items. The list may be provided in association with the presentation order.

Graphical representation of ordered model items based on solver information

A system and method intelligently and automatically improves the performance of a model. The system employs heuristics to select a plurality of performance rules that conform to one or more criteria specified for the performance analysis process. The performance rules include checks to be run on the model and offer advice, such as proposed changes that, if made to the model, may improve its performance. The system may evaluate the proposed changes to determine whether or not they produce an improvement in the model's performance. Proposed changes validated as improving model performance are retained, while proposed changes found not to improve performance are removed.

System and method for improving model performance

A method may include causing a first model to be executed. The causing the first model to be executed may be performed by a device. The method may further include causing a second model to be executed to simulate a functionality of the first model. The causing the second model to be executed may be performed by the device. The method may further include interacting with a model element, of the second model, associated with implicitly accessing information regarding a state of the first model. The state may be a representation of the first model at a particular simulation time-step. The interacting with the model may be performed by the device. The method may further include accessing, by the model element, information associated with the state of the first model. The accessing the information may be performed by the device.

Graphical modeling for accessing dynamic system states across different components

A device may receive a model that includes multiple blocks. The model may include first variables that contribute to a first calculation and second variables that contribute to a second calculation. The device may determine first dependencies associated with the first variables and may determine second dependencies associated with the second variables. The device may generate a first execution function based on determining the first dependencies. The first execution function may identify first blocks that are to be executed to perform the first calculation. The device may generate a second execution function based on determining the second dependencies. The second execution function may identify second blocks that are to be executed to perform the second calculation. The device may cause the first blocks and the second blocks to be executed in a different manner based on the first execution function and the second execution function.

Graph-based partitioning of dynamic system execution

A computer-based model having executable semantics may be used to simulate the behavior of a system. A substructure of interest is sliced from the model and analyzed to determine a transformation of the slice while preserving some context of the model. The transformed slice may be further manipulated outside of the model, integrated back into the model in place of the original slice, or used in other ways.

Model structure analysis with integration of transformed slice

A method, performed by a computer device, may include selecting one or more input and output points in an executable graphical model in a modeling application and simulating the executable graphical model over a plurality of time points. The method may further include generating a time domain response plot for the executable graphical model based on the simulating; obtaining matrices of partial derivatives based on the selected one or more input and output points at particular time points of the plurality of time points; generating a frequency domain response plot for the executable graphical model based on the obtained matrices of partial derivatives; and generating a bidomain simulator user interface, the bidomain simulator user interface including the generated time domain response plot and the generated frequency domain response plot.

Bidomain simulator

A device may receive information identifying a model including information associated with elements included in the model. The device may cause the model to be executed, and may collect data associated with executing the model. The device may determine performance information based on the collected data. The performance information may be associated with the elements included in the model. The device may generate a heat map based on the performance information. The heat map may associate an element, of the elements, with a visual representation indicating performance information, associated with the element, based on a heat map scale. The heat map scale may relate the performance information, associated with the element, to performance information associated with another element. The heat map may be a graphical interface that includes a graphical representation of the element and a graphical representation of the other element. The device may provide the heat map.

Growing community of inventors

Sherborn, MA, United States of America

Fu Zhang