All-state estimation refers to the process of determining
All-state estimation refers to the process of estimating all the internal states of a dynamic system using mathematical models and sensor data. It enhances system monitoring, control, and fault detection, especially when not all states are directly measurable. Techniques include Kalman filters, observers, and machine learning algorithms for accurate predictions.