PhysicsAI

When working with industrial AI, training a high performance prediction model is only one part of the challenges. Other critical aspects include:

The next wave of Industrial AI is accelerating, with physics-aware, trustworthy, and integration into engineering workflow.

Nice pieces on suspension design, from 1D target cascading to 3D design requirements.

One often overlooked topic in control systems engineering is explainability. Control engineers are typically trained, through university or research, to design systems from the ground up, starting with physics-based modeling, model identification, stability analysis, control design, and then iterating with performance evaluation. This process provides engineers insight into the system, enabling intuitive for parameter calibration.

a self-contained virtual representation that models physical behaviors and combines with physical data to provide augmented information.