The purpose of the Kalman filter is to use measurements that are observed over time that contain noise (random variations) and other inaccuracies, and produce values that tend to be closer to the true values of the measurements and their associated calculated values. The Kalman filter has many applications in technology, and is an essential part of the development of space and military technology. This book presents topical research data in the study of Kalman filtering, including Kalman filtering in the detection and analysis of voltage dips, short interruptions and overvoltages in voltage supply; statistical state-space modeling using Kalman filtration; and attitude estimators based on Kalman filtering for application on low Earth orbit microsatellites.