Zustandsunsicherheit
Zustandsunsicherheit refers to a concept in probability and statistics concerning the lack of perfect knowledge about the current state of a system. This uncertainty can arise from various sources, including limitations in measurement devices, incomplete information, or inherent stochasticity within the system itself. When dealing with Zustandsunsicherheit, it is often necessary to represent the state not as a single, definite value, but as a probability distribution over possible states.
This concept is particularly relevant in fields such as control theory, estimation, and machine learning. For
Techniques for managing Zustandsunsicherheit include Bayesian inference, Kalman filtering, and particle filtering. These methods aim to