System Identification and the Principle of Random Contraction Mapping
Kunjal Oza, E.I. Jury · SIAM Journal on Control · 1968
The problem of identifying a linear discrete system is considered where the input-output data is noise-corrupted. An iterative algorithm is suggested which converges in a statistical metric. This convergence is obtained through the principle of random contraction mapping.