Implementing a practical adaptive cruise controller running on an embedded microprocessor can improve control performance. Learn how Hitachi Automotive Systems used Simulink® and Model Predictive Control Toolbox™ to:
Design an adaptive cruise controller with a stop-and-go function using model predictive control technology
Simulate various driving scenarios to verify and validate controller performance
Implement a controller on the embedded microprocessor and validate performance in the experimental vehicle
Simulink and Model Predictive Control Toolbox helps you reduce controller development time because you use simulation models to design and verify the algorithm and deploy it to hardware using automatic code generation.