Interface with Simulink

Create models with time-based and event-based components, choose solvers, save simulation state

A SimEvents^® model can coexist with time-based systems in a Simulink^® model. The combination of time- and event-based modeling facilitates the simulation of large-scale sophisticated hybrid systems.

In a message-based communication framework, you can use Simulink messages to create the communication interface. By using message blocks, you can convert Simulink signals produced by an algorithm in a component to a message to be communicated to the network. You can generate code for the component including message interface. You can use SimEvents blocks to model and simulate custom communication patterns including routing, delays, and prioritization for communication between components.

Topics

Discrete-Event Simulation in Simulink Models
SimEvents software incorporates discrete-event system modeling into the Simulink time-based framework.
Solvers for Discrete-Event Systems
Depending on your configuration, you can use both variable-step and fixed-step solvers with discrete-event systems.
Trigger Simulink Components with Discrete Events in SimEvents
This example shows how to use Simulink Function blocks to timestamp entities, pass entity attributes to Simulink® components, and create notification events for routing.
Create a Hybrid Model with Time-Based and Event-Based Components
Simulate a hybrid system that has SimEvents and Simulink parts.
Working with SimEvents and Simulink
You can exchange data between SimEvents and Simulink environments.
Model Simple Order Fulfilment Using Autonomous Robots
Facilitate time-based and event-based systems and their communication through messages.

Featured Examples

Modeling Hybrid Systems - Tank Filling

A hybrid system with both continuous time and discrete event sections. The discrete event part models tanks, represented by entities, which are being queued and need to be filled up. Each tank has a "Capacity" attribute. The continuous time part models the process of filling up a tank, modeled by an Integrator. When a tank is filled to capacity, this event can be detected by a Hit Crossing block, which will generate a message corresponding to this event. The generated message will trigger the server to release the tank.

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Model an Ethernet Communication Network with CSMA/CD Protocol

Model an Ethernet communication network with CSMA/CD protocol using Simulink® messages and SimEvents®. In the example, there are three computers that communicate through an Ethernet communication network. Each computer has a software component that generates data and an Ethernet interface for communication. Each computer attempts to send the data to another computer with a unique MAC address. An Ethernet interface controls the interaction between a computer and the network by using a CSMA/CD communication protocol. The protocol is used to respond to collisions that occur when multiple computers send data simultaneously. The Ethernet component represents the network and the connection between the computers.

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Modeling Load Within a Dynamic Voltage Scaling Application

How, depending on the workload, a AT90S8535 microcontroller uses a dynamic voltage scaling (DVS) feature to adjust the input voltage. By lowering the input voltage when the workload is low, the microcontroller reduces energy consumption while guaranteeing quality of service. The DVS controller is based on an online gradient estimation technique called infinitesimal perturbation analysis (IPA). In a single simulation of a parameterized system, not the large number of simulations required by a traditional finite-difference approach, IPA can provide sensitivity information that yields a first-order approximation of the system performance metrics as a function of the parameters.

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Simulate Scheduler of a Multicore Control System

Model the task scheduling of a control application using SimEvents blocks.

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Develop Custom Scheduler of a Multicore Control System

Model a customer scheduler using the SimEvents® MATLAB Discrete-Event System block. The model includes a Scheduler block that can simulate a multicore system with an arbitrary number of cores, tasks, and mutually exclusive resources.

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Effects of Communication Delays on an ABS Control System

How stochastic network traffic causes timing latency and uncertainty in an anti-lock braking system that uses CAN communications.

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Modeling Cyber-Physical Systems

Cyber-physical systems combine computer and physical systems to achieve design goals. Simulation of cyber-physical systems requires a combination of modeling techniques such as continuous-time, discrete-time, discrete-event, and finite state modeling. Simulink® and its companion products provide functionality to apply a wide range of modeling techniques and seamlessly integrate them in one simulation environment, which is ideal for modeling cyber-physical systems.

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Build a Shared Communication Channel with Multiple Senders and Receivers

Model communication through a shared channel with multiple senders and receivers by using Simulink® messages, SimEvents®, and Stateflow®.

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