Design and Deploy Control Systems with Agentic AI and Model-Based Design
| Start Time | End Time |
|---|---|
| 14 Oct 2026, 9:00 PM EDT | 14 Oct 2026, 10:00 PM EDT |
Overview
Agentic AI tools are changing how engineers approach design tasks. However, for complex engineered systems, an informal, prompt-driven approach to design is not enough.
In this webinar, you will see how to guide an AI agent through Model-Based Design, a widely adopted and trusted way to design and deploy embedded control systems. With the MATLAB® Agentic Toolkit and Simulink® Agentic Toolkit, the workflow begins with a natural language prompt and proceeds through an iterative, structured process. The AI agent:
- Generates requirements
- Designs a model predictive controller (MPC)
- Verifies behavior using closed-loop simulation with a plant model
- Runs Software-in-the-Loop (SIL) and Processor-in-the-Loop (PIL) testing
- Generates embedded code for deployment
As the agent produces standard engineering artifacts like models, controllers, and test results, you inspect, verify, and refine the design at every stage. This approach combines the speed of agentic AI with the rigor and traceability of Model-Based Design.
Highlights
- See an AI agent build and deploy a model predictive controller using Model-Based Design
- Discover how AI-generated models, controllers, and test results remain inspectable, verifiable, and fully integrated into existing engineering workflows
- Learn why guiding AI agents through structured engineering workflows leads to safer and more reliable results
About the Presenter
Dr Muhammad Ali is a Senior Application Engineer at MathWorks with expertise in renewable energy integration, power system stability, and grid connection studies. He has extensive experience in DMAT and GPS assessments, model validation, compliance studies (R0, R1, R2), and stability analysis of inverter-based resources using admittance scan tools.
Prior to joining MathWorks, Ali contributed to the ARENA funded “Addressing Barriers to Efficient Renewable Integration” research project at UNSW in collaboration with ElectraNet, TasNetworks, and AEMO. His work focused on inverter testing, renewable integration, and advanced power system studies. He also contributed to battery management system development and electric aviation power plant research.
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