Title :
Design of one-step-ahead prediction observers for system parameter identification
Author :
Loh, Robert N K ; Lu, Manxue
Author_Institution :
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
Abstract :
A unifying one-step-ahead prediction observer (identifier) for system parameter estimation or identification of autoregressive moving average (ARMA) processes has been developed. Four specific algorithms can be derived from the unifying algorithm. The properties of the four algorithms developed will be investigated.
Keywords :
autoregressive moving average processes; observers; parameter estimation; prediction theory; autoregressive moving average processes; prediction observer; system parameter estimation; system parameter identification; Current measurement; Equations; Erbium; Filters; Parameter estimation; Prediction algorithms; Robotics and automation; State estimation; Systems engineering and theory; Time measurement;
Conference_Titel :
Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on
Print_ISBN :
981-04-8364-3
DOI :
10.1109/ICARCV.2002.1234996
