Title :
Online identification of a drifting system using generalised Kalman filtering
Author_Institution :
University of Oxford, Department of Engineering Science, Oxford, UK
Abstract :
The letter describes an online method for the identification of drifting parameters of a sampled-data system. The model used describes both the plant and the noise.
Keywords :
filtering and prediction theory; identification; sampled data systems; Kalman filtering; drifting system; noise description; online identification; plant description; sampled data system;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19710007
