The Mathworks, Inc.

John Edward Ciolfi

Ramamurthy Mani

Pieter Johannes Mosterman

Murali K Yeddanapudi

Sanjai Singh

Haihua Feng

Michael David Tocci

Donald Paul Orofino, Ii

Fu Zhang

Mojdeh Shakeri

Mehmet Yunt

Sudha S Dhoorjaty

Ebrahim Mehran Mestchian

Jay Ryan Torgerson

Michael I Clune

Kai Tuschner

Qu Zhang

Wei Li

Raju Kottamadal

Matthew J Englehart

Claudia G Wey

Karthik Srinivasan

Yang Guo

Eric Pressman

Rajesh Bandreddi

Srinath Avadhanula

Howard Taitel

Tao Cheng

Len Conte

Yogesh Dalal

Robert Olson Aberg

Brian Keith Ogilvie

Vijaya Raghavan

Hidayet Tunc Simsek

Zhi Han

Darel Allen Linebarger

Saikiran Sri Thunuguntla

Paul F Kinnucan

Rajiv Ghosh-Roy

Alongkrit Chutinan

Ricardo Monteiro

Daniel Forrest Higgins

Marc Ullman

Katalin Maria Popovici

David M Boissy

E Mehran Mestchian

Vaibhav Awale

Leonard Conte

Benjamin Charles Martin

Sudhir Kumar

Vineeth Kartha

Jing Xu

Amar Nath Satrawala

Donald P Ii Orofino

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

Systems and methods establish, activate, and deactivate variant choices within an acausal physical component model of a physical system. The systems and methods utilize variant connector blocks to establish cut points in a physical network defined by the physical model. The cut points may be programmatically controlled to activate and/or deactivate a variant choice. The variant connector blocks may include internal connections that may be programmatically controlled to be either open or closed in order to cut or include a variant choice in the acausal physical component model. Variant conditions or labels may be associated with the internal connections, and the systems and methods may evaluate the variant conditions and/or examine the labels to determine whether the internal connections are open or closed.

Systems and methods for creating variant regions in acausal simulation 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

Systems and methods provide, as part of an executable graphical model, a region for providing variants that includes one or more computational choices defining alternative execution implementations of the region. Conditions assigned to the one or more computational choices indicate which of the computational choices is active. The conditions specify logical expressions of variables that evaluate to True or False. For a given simulation of the executable graphical model, all of the logical expressions may evaluate to False, such that none of the computational choices are active. All of the computational choices of the executable graphical model may be removed for the given simulation.

Variant modeling elements in graphical programs

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

Systems and methods provide, as part of an executable graphical model, a region for providing variants that includes one or more computational choices defining alternative execution implementations of the region. Conditions assigned to the one or more computational choices indicate which of the computational choices is active. The conditions specify logical expressions of variables that evaluate to True or False. Two or more of the logical subexpressions may be combined to form a combination logical expression, which may be assigned to two or more model elements included in at least one of the computational choices. The combination logical expression may be decomposed into its logical subexpressions, and at least one of the decomposed logical subexpressions may be traced to one or more of the model elements to which the at least one of the logical subexpressions is assigned.

A Discrete Event System model created or provided in a time domain modeling and simulation environment and/or an event domain modeling and simulation environment may be divided into multiple independent regions, e.g. 'subgraphs', to achieve interleaved execution of the components from different domains. The subgraphs are automatically identified by the modeling and simulation environment during the compilation. Each subgraph consists of one or more interconnected event-driven components. Each subgraph is associated with an event calendar that controls the execution of the associated subgraph. Such multiple event calendar design enables multi-domain simulation, where event-driven components modeled by an event domain modeling environment and time-driven components modeled by a time domain modeling environment are simulated in an integrated fashion.

Identification and simulation of multiple subgraphs in multi-domain graphical modeling environment

A system and method creates a plurality of different ring components for a referenced model included within a parent model. The ring components include values for one or more model-level, block-level, and signal-level attributes of the referenced model. One or more ring components are selected and assigned to the referenced model in the context of the parent model. During execution of the parent model, information from the selected ring component is accessed and used to control execution of the referenced model. During code generation for the parent model, information from the selected ring component is accessed and used to control the code generation process for the referenced model.

Model ring component

Growing community of inventors

Wellesley, MA, United States of America

John Edward Ciolfi