Messages & Events
R2026bUse blocks from the Messages & Events library to model message-based communication between components. Message-based communication is necessary in distributed control system architectures where system complexity prevents a centralized approach. A message combines an event with related data, letting components communicate without requiring simultaneous execution.
To add blocks from this library to your model, see Add Blocks to Models.
Blocks
 | Hit Crossing | Detect crossing point |
 | Hit Scheduler | Schedule major time steps for variable-step solver (Since R2022b) |
 | Message Merge | Combine message paths |
 | Message Triggered Subsystem | Subsystem whose execution is controlled by message input (Since R2022a) |
 | Queue | Enqueue messages and entities |
 | Receive | Receive messages |
 | Send | Create and send message |
 | Sequence Viewer | Display messages, events, states, transitions, and functions between blocks during simulation |
Tools
| Library Browser | Find and add blocks to model |
Topics
- Add Blocks to Models
Use the Library Browser and quick insert menu to insert blocks.
- Simulink Messages Overview
Overview of the message-based communication for distributed architectures, code generation, and middleware modeling.
Related Information
Featured Examples
Establish Message Send and Receive Interfaces Between Software Components
Create message send and receive interfaces, and prepare components for C++ code generation.
Schedule Time Hits and Function-Call Events During Simulation
Use the Hit Scheduler block to schedule time hits and function-call events based on the runtime behavior of a system. The model in this example represents a traffic camera system that captures images of speeding vehicles. The Hit Scheduler block schedules time hits for the simulation based on runtime computations that determine when the camera should capture an image.
Model Effect of Temperature and Jitter on Crystal Oscillation Frequency
Use the Hit Scheduler block to model temperature drift and jitter in crystal oscillator frequency.
Model Conveyor Belt as Cyber-Physical System
Model a variable-speed conveyor belt as a cyber-physical system by combining continuous-time, discrete-event, and finite-state modeling techniques. The model in this example integrates the modeling techniques required to represent the cyber-physical system into a single simulation environment by using Simulink®, SimEvents®, and Stateflow®.
