Using Agentic AI to Design and Deploy a Control System

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: https://youtu.be/-G4H2DmhR28 Related resources: - Explore Agentic AI for MATLAB and Simulink: https://bit.ly/4tKcUTy - MATLAB Agentic Toolkit: https://bit.ly/4vu96I5 - Simulink Agentic Toolkit: https://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! -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2026 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.