Use the scheduling tool below to browse all the available sessions, speakers and topics at this year's event. Find the content and sessions to fit all of your educational needs and ensure you get the most out of your time at the event.
An Industrial IoT world warrants concerns about machine security and safety. In any security & safety architecture, manned and unmanned machine scenarios must be considered. What if, through operator accident or action, sensor malfunction, or spoofed by a hacker, a critical control parameter is inappropriately altered or spoofed? How much intelligence must be designed and implemented to handle all the potential corner-cases? How much cost is added due to that additional complexity?
To address this, an innovative approach must be taken. Thankfully, such exists utilizing a single device with both an ARM-based SoC and integrated FPGA running Real-Time Linux. This architecture allows designers to combine, on the target, the control system with a real-time digital twin model developed as part of the system design simulation. This model monitors the real-time behavior of the system and responds to anomalies. The digital twin endows the control system with an expectation for the system response and when that is violated, appropriate action can be taken. This has applications for safety, security, machine learning, and other closed-loop control capabilities.
This session will cover the architecture of this innovative solution and provide an example of an implementation with measured results, including a demo.
A real-time digital twin using ARM- based SoC with FPGA running Real-Time Linux is an innovative tool to address IIoT security and functional safety. The twin endows the system with an expectation for response and if violated, appropriate action can be taken. The concepts can be extended to machine-learning applications.
Embedded systems developers developing control systems who are looking for safety & security solutions and advanced methods for tuning & optimizing closed-loop systems, as well as those involved with machine intelligence and learning.
Welcome! You can use the Session Scheduler tool to browse sessions and build a custom event schedule. Once you've saved your personal schedule, you can access it from the free GDC Europe Mobile app (available approximately 30 days before the event). Note: use the same login/password on the Mobile app that you set up on this web site.
Step 1. Create an account. Use the "Create Account" button at the top of the right-hand corner.
Step 2. Choose a view. Select either the "List" or the "Grid" icon. (It's the same data, just a different view of the sessions.)
Step 3. Choose your sessions. Click the "Add" or "Remove" button next to each session to add it to, or remove it from, your personalized schedule.
Step 4. Review your schedule. Push the "My Schedule" button in the left column to view your selected sessions.