Predictive system-level control
Modern high-tech embedded systems must deliver optimal performance across diverse inputs—whether from users or the environment. Think of a state-of-the-art printer handling multiple paper types and complex print jobs. Each input category triggers a different operational mode, and switching between these modes can disrupt performance if not managed properly.
Predictive system-level control solves this challenge by anticipating the system’s next operational use. It prepares transitions before they happen, ensuring smooth mode changes and minimizing disruptions. Through iterative optimization, this approach significantly improves overall system performance.


How it works
- Create a system model with discrete modes and continuous states
- Develop a control algorithm that uses this model, and an input horizon to determine the best future system state and a smooth transition towards it
- Apply the control algorithm repeatedly to continuously guide the system to the best operational system state
The result? Smarter, faster, and more reliable performance across all operating conditions.
