Where to Start with Advanced Control Methods | From Concept to Deployment Across Industries

Описание: Looking to implement advanced control systems, Scientific Machine Learning, or digital twin technology?

This video explains how to approach advanced control methods by focusing first on the problem to be solved, not the tool. Defining clear objectives, constraints and success criteria is essential before selecting a methodology or technology.

Key discussion points:
🎯 Why problem definition comes before control architecture
📊 How to frame success metrics for performance, reliability or energy efficiency
⚙️ The role of control design across software, modelling and hardware integration
🔁 Using automated testing and validation loops to meet safety and performance targets
📈 How advanced methods like PhysicsML and digital twins apply beyond motorsport

These methods are highly effective not just in Formula 1 but also in aerospace, defence, energy, and manufacturing. Whether the goal is speed, weight reduction, robustness or energy optimisation, the key is applying the right control strategy for the context.

Topics covered:

▶️ Foundations for implementing advanced control systems

▶️ System-level engineering across the development lifecycle

▶️ Sector-agnostic strategies for real-world performance improvement

▶️ Practical guidance on digital twin and PhysicsML adoption

#AdvancedControlMethods #ControlSystemsEngineering #PhysicsML #DigitalTwin #SystemIntegration #EngineeringSolutions #ModelBasedDesign #PerformanceEngineering

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