Which consequence results when a poorly conditioned Kalman filter diverges?

💡 Explanation

The state estimate diverges when the **innovation covariance** is underestimated; because an underestimation trusts the process model too much, therefore propagating errors rather than correcting them via new measurements, leading to unbounded errors.

• Which outcome occurs when excessive voltage is applied to a parallel-plate capacitor?
• Which outcome prevents accurate distance measurement in LiDAR systems?
• Which risk increases when the Arrhenius equation predicts exceedingly high reaction rates at extremely elevated temperatures within a chemical reactor?
• Which outcome occurs when a large 239Pu mass accumulates?
• Which consequence results when entangled photons pass dissimilar refractive materials?
• Which risk increases when a pulsed laser ablates material?