MATLAB EXPO
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What does the participation matrix represent - from the Modern Grid Stability with IBRs: Leveraging Simulation and Control Design session.
Thanks to Dr. Riyadh Kenaya and Arnie Berlin for the session and for answering my questions live: UE5 handles radial and tangential distortion, rolling shutter would be added in Simulink, and the synthetic data is meant for design of experiments on extrinsic limits rather than exact calibration.
A few follow-ups:
- The demo results showed a mean calibration error of 3.85 px, with camera 1 at 7.33 px. On synthetic images where the true intrinsics are known, what drives that error: the distortion model fit, board detection near the image edges, or something else?
- Can the ChArUco board poses be set from a script instead of the Control Center sliders? That would let a calibration campaign run as a Monte Carlo sweep over board placement and lighting.
- Does the camera model support fisheye or rational distortion models for wide lenses (around 100 degrees horizontal)?
- With a 32-channel lidar, only a few rings hit each board. How much does camera-to-lidar extrinsic accuracy degrade as the boards move farther away?
I would also be glad to try the example if the code is available.
Thanks to Siddharth Jawahar for the Misconceptions in Control Design workshop. I worked through the M3 to M5 models and have three follow-ups.
- Transport delay in PID Tuner. In M5, the tuned design showed 60 degrees of phase margin at 5.27 rad/s, while the gain margin sat at 25 rad/s for both the original and the tuned gains. That suggests the transport delay sets the phase crossover. Does PID Tuner linearize the Transport Delay block exactly, use a Pade approximation, or tune on the delay-free plant? If it drops the delay, the margins on screen would be optimistic.
- Missing the settling spec. The tuned design settled in 1.02 s against the 0.8 s requirement, while rise time and overshoot passed. Which would you trade first: a little more overshoot, derivative action, or reducing the delay itself?
- Windup in field logs. The M4 hand-built PI asked for about 26 V against a 12 V driver limit and overshot by 187.7 percent after the disturbance cleared. On real hardware, is the requested voltage pinned at the limit while the error keeps growing the signature you look for? Do you recommend logging requested and applied voltage as separate signals by default?
Context: I work on simulation validation and am building a fault-injection testbed for a small robot that injects latency, jitter, and packet loss on the control link. Variable delay is the case I care about most, so any pointers on modeling jitter (for example with the NetworkCondition block) would help.
Thanks!
Hello everyone, I hope you all had a fantastic MATLAB EXPO! I wanted to create a forum for people to ask follow-up questions or start discussions related to the workshop Hands-On Agentic AI for Engineered Systems with MATLAB and Simulink. We ran this workshop nine (!) times over the two days of MATLAB EXPO, and heard some incredibly insightful comments and questions in each session, so I wanted to make a central bulletin board for people to share their thoughts and hear insights. A few ideas:
- What did you most enjoy about the workshop?
- Are there any topics/exercises that weren't clear, or maybe an area you want to explore more?
- Do you have an idea for how you'd like to apply agentic AI in your work?
MATLAB EXPO may be over, but that doesn't mean the conversation has to end!
When the agent tunes the controller, what stops it from passing the specs on the nominal model but failing on delay, saturation, or parameter variation? Do you make it run a robustness sweep, not just one simulation?
Hello MATLAB EXPO community! Now that everybody has had a chance to digest all of the exciting sessions you saw last week, I wanted to create a forum for further discussion of @Emmanouil Tzorakoleftherakis and I's session, Building Embedded Controllers with Agentic AI and Model-Based Design. Do you have questions, comments, or feedback following the session? Let us know! Some points to consider for discussion:
- What was something interesting you learned from the session?
- What is something you'd like to learn more about after having watched the session?
- How comfortable are you with the prospect of AI agents designing controllers? Did the session change that feeling at all?
We'd love to see your thoughts below!
Let's continue the conversation from our MATLAB EXPO Online talk...
Here are the key highlights from our talk to get you started:
- Automated execution of hundreds of real-time test scenarios in just a few hours, down from days, cutting validation time by 70% to 85%.
- Achieved end-to-end traceability across requirements, architecture, models, and test results essential for evidence-driven decision-making.
- Engineered an extensible framework to future-proof autonomy capabilities across various vehicle platforms and operational design domains.
- Supercharged the digital thread with agentic AI capabilities, while preserving the structure, traceability, and credibility of digital engineering.
Ready to explore the latest advancements in engineering and science with MATLAB and Simulink?
MATLAB EXPO Online 2026 is taking place November 4-5, 2026, and registration is now open. Join engineers, researchers, educators, and industry leaders from around the world for two days of technical presentations, hands-on workshops, customer success stories, and live Q&A sessions.
What to Expect
✅ 40+ interactive sessions featuring MathWorks experts and industry leaders
✅ 5 technical tracks, including AI and Agentic AI, Digital Engineering and Model-Based Design, Electrification and Energy Systems, Robotics and Autonomous Systems, and Cloud, CI/CD and DevOps
✅ 9 live, 90-minute hands-on workshops using MATLAB Online and Simulink Online
✅ Keynotes on emerging engineering trends and the latest MATLAB and Simulink capabilities
✅ Opportunities to connect with experts and peers from around the globe through live Q&A and networking activities
Whether you're just getting started or are an experienced MATLAB and Simulink user, you'll find content tailored to a range of experience levels and application areas.
Participation is free, but registration is required. Reserve your spot and start building your personalized agenda today.
What session or topic are you most excited to explore this year? Let us know in the comments!
Many of us have someone in our lives whose hearing has gradually changed with age. Maybe it's a grandparent who leans in a little closer at the dinner table, or a friend who enjoys a chat more in a quiet cafe than a busy one. For many people, hearing loss over the years becomes part of everyday life.
Behind every hearing instrument is an engineering team trying to help people keep enjoying those conversations.
We'd love to hear from you:
- Has hearing changed the way someone you know enjoys music, conversations or learning?
- If you've worked on audio, hearing aids or wearables, what inspired you, and what made it hard?
Join us at MATLAB Expo Online for the hands-on workshop Designing For Every Ear. Together we will explore the technologies right in MATLAB.
It was a great experience learning about various cutting-edge technologies. Thank you MathWorks, for this valuable learning opportunity!
We got wonderful questions from the Design For Every Ear workshop session and we did not have chance to respond to them. We use this thread to share some more resources and references to continue the discussion.
- Concepts, tools and examples: https://www.mathworks.com/solutions/medical-devices/hearing-aids.html
- Example references used in the workshop:
- The Hearing Loss Simulation Plugin by Angeliki Mourgela (Queen Mary University of London and BBC R&D), MATLAB File Exchange 79541.
- MathWorks shipping example: Cochlear Implant Speech Processor.
- MathWorks shipping examples, including Speaker Recognition Using x-vectors.
- Embedded AI technology and workflow: https://www.mathworks.com/solutions/embedded-ai.html
- Set up the AI tutor in your own MATLAB: MATLAB MCP Core Server (https://github.com/matlab/matlab-mcp-core-server), MATLAB Agentic Toolkit (https://github.com/matlab/matlab-agentic-toolkit) and Simulink Agentic Toolkit (https://github.com/matlab/simulink-agentic-toolkit)
Thanks!
Exploring various cutting-edge technologies was an inspiring experience. Thank you, MathWorks, for this invaluable opportunity!
I will appreciate you If you send me URL connecting MATLAB EXPO 2026.
What a great first day of MATLAB EXPO Online 2026! Thanks to everyone who joined us, participated in the sessions, and helped make Day 1 such a great experience.
We’re not done yet. Join us tomorrow, November 5, for another full day of great sessions, ideas, and inspiration.
What are you most looking forward to on Day 2? Let us know in the comments!
I'm excited to be attending MATLAB Expo for the first time, even though I'll be joining online. I'm looking forward to exploring the latest advancements in MATLAB, discovering innovative applications, and learning how these technologies are being used to solve real-world challenges. As a Computer Science student with an interest in Artificial Intelligence and Machine Learning, I'm particularly interested in gaining insights into emerging technologies and their practical applications.
Looking forward to an engaging and insightful experience, learning from industry experts, and connecting with fellow enthusiasts!
had a wonderful experience of the recent session.I am attending the matlab expo for the first time
This is my first time attending the MATLAB EXPO and it's been nothing short of amazing so far. I am a mechanical engineering student, interested in aerospace and automobiles. Let's connect and discuss our interests. I attended 3 tracks as of now, and absolutely loved 'How 3D Digital Twins Enabled the Development of an Autonomous Rebar-Tying Robot' . I'd especially love to talk more about that and other topics too. If anyone enjoyed it as i did, do connect!
This is my first time attending the MATLAB Expo. I am learning so many new things as a beginner. Hope to further improve my programming skills to stay up to date with what the industry needs.
🎸 a whisper becomes a rock concert
17%
🐿️ Wrong frequency mapping
67%
🤐 Signal dropout
0%
🔋 Power regression
17%
6 votes
Hi everyone! I am one of the MATLAB Product Managers supporting MATLAB Projects and MATLAB Package Manager. R2026b was a major update for both of these tools, and we are excited to show how you can build software in MATLAB and Simulink using modern software development tools. There is a track session and a workshop that you can attend. Come learn about the simpler matlab.toml file and how your code can finally depend on packages. You can see a preview here:
About MATLAB EXPO
This online event brings together engineers, scientists, and researchers to discover the latest in MATLAB and Simulink through keynotes, technical sessions, and hands-on workshops.
