Uploaded June 2026 | Updated September 2026, 2 weeks ago

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Explore how you can use agentic AI with MATLAB® and Simulink® to accelerate a full engineering workflow — defining requirements, designing a controller, simulating, testing, and deploying on hardware.

This video walks through this workflow with a rotary inverted pendulum example. The demo uses an AI agent connected to MATLAB via the MATLAB MCP Server along with the MATLAB Agentic Toolkit and the Simulink Agentic Toolkit.

Watch this tech talk to uncover why agentic AI for Engineering: youtu.be/-G4H2DmhR28

Related resources:
- Explore Agentic AI for MATLAB and Simulink: bit.ly/4tKcUTy
- MATLAB Agentic Toolkit: bit.ly/4vu96I5
- Simulink Agentic Toolkit: bit.ly/3QvkNPj

Chapters:
00:00 Agentic AI with Model-Based Design
01:57 AI agent-MCP-MATLAB-hardware setup
02:44 Defining requirements
04:20 Plant modeling and linearization
05:49 AI agent creates controller model
07:04 Closed-loop simulation and robustness analysis
10:20 Software-in-the-loop (SIL) testing
11:20 Processor-in-the-loop (PIL) testing
11:57 Deployment to rotary inverted pendulum
12:54 Pendulum control in action
13:09 Connect MATLAB to your AI agent!

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