Title :
Model robustness in robust identification
Author_Institution :
Dept. of Stat., Macquarie Univ., Sydney, NSW, Australia
Abstract :
Considers the issue of model robustness. In particular the author considers fitting a linear transfer function model in the presence of a small deviation from linearity. The issue of deviation from linearity is often mentioned in robust identification but does not seem to have been explicitly treated before
Keywords :
identification; transfer functions; linear transfer function model; model robustness; robust identification; Laplace equations; Linearity; Noise robustness; Parameter estimation; Poles and zeros; Robust control; Sensor systems; Statistics; Transfer functions; Uncertainty;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478601
