Understanding Model Predictive Control, Part 9: Nonlinear MPC Deployment to Speedgoat Hardware for Real-Time Testing
From the series: Understanding Model Predictive Control
Timo Straessle, Speedgoat
Learn how to generate code from a nonlinear mpc algorithm for an automated driving application and deploy the generated code to Speedgoat® hardware for real-time testing. This video uses the FORCES PRO-based nonlinear MPC algorithm developed in the previous video and shows how to partition the model into multiple components for deployment to Speedgoat hardware.
Related Products
Learn More
Featured Product
Model Predictive Control Toolbox
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list:
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)
Asia Pacific
- Australia (English)
- India (English)
- New Zealand (English)
- 中国
- 日本Japanese (日本語)
- 한국Korean (한국어)