Learn SIMULINK-MATLAB-SCRIPTING with Real Code Examples

Simulink is a MATLAB-based graphical environment for modeling, simulating, and analyzing dynamic systems.

MATLAB scripting provides programmatic control over Simulink models, simulations, and data processing.

Scripting enables automation of repetitive tasks such as parameter sweeps, Monte Carlo simulations, and batch experiments.

Supports integration with control design, signal processing, and optimization toolboxes.

Widely used in automotive, aerospace, robotics, and embedded systems engineering.

Simulink model API (e.g., `add_block`, `set_param`, `get_param`)

Simulation control (`sim`, `simout`, `set_param`) for automated runs

Data import/export and logging for analysis

Programmatic configuration of model parameters

Script-based batch processing and Monte Carlo simulations

Blocks - components representing system elements

Lines - connections representing signals and data flow

Parameters - configurable properties of blocks

Simulation - execution of the model to generate results

Scripting - programmatic access to model elements and simulation controls

Simulink models (.slx or .mdl files)

MATLAB scripts (.m files) controlling simulations

Supporting data files for input/output

Toolbox functions for analysis and visualization

Optional code generation for deployment to embedded hardware

Create or open a Simulink model

Define block parameters and signal paths

Write MATLAB scripts to modify model or set parameters

Run simulations programmatically using `sim`

Collect outputs and analyze results using MATLAB

Beginner: Automate a simple model simulation and collect outputs

Intermediate: Sweep multiple parameters using scripts

Advanced: Optimize parameters using MATLAB toolboxes

Expert: Automate large-scale simulations with multiple models and dependencies

Architect: Integrate with HIL systems and deploy auto-generated code

Simulink vs Python scripts: Simulink for modeling dynamic systems, Python for general computation

MATLAB scripting vs Simulink GUI: Scripting enables automation and reproducibility

Simulink vs LabVIEW: Both for simulation, Simulink tightly integrated with MATLAB

Simulink vs CAD-based modeling: Simulink focuses on system dynamics, CAD on geometry

Simulink vs Excel modeling: Excel is data-oriented, Simulink handles dynamic systems and simulation

1990 - Simulink first released by MathWorks

1995 - Added MATLAB scripting interface

2000s - Enhanced block libraries and toolbox integration

2010s - Parallel computing and code generation improvements

2020s - Expanded HIL support and cloud simulation capabilities

2025 - Continued ecosystem expansion with AI/ML integration and automation enhancements

Simulink - Graphical modeling and simulation environment

MATLAB - Programming environment for numerical computing

Block - Element of a Simulink model representing a system component

Line - Connection between blocks carrying signals

S-Function - Custom code block in Simulink