State Estimation
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May 1, 2024
Updated June 2, 2025
19 minute read
An Introduction to State Estimation
State estimation is a powerful technique used across many fields to determine the unknown internal conditions—or "state"—of a dynamic system based on available, often noisy or incomplete, measurements. Think of it like trying to figure out exactly what's happening inside a complex machine, like a car engine or a power grid, using only the readings from various sensors. These sensors might provide information about temperature, pressure, speed, or voltage, but they don't tell the whole story, and their readings can be imperfect. State estimation algorithms take this imperfect data, combine it with a mathematical model of how the system behaves, and produce the most likely estimate of the system's true current condition.
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