Title :
Model identification using quantized data — a disturbance-free case
Author_Institution :
Institute of Automatic Control, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
Abstract :
In the paper an approach to discrete-time frequency response as well as the corresponding parametric model identification using deterministic discrete-time multisine excitations and quantized plant output is presented. A focus on model identification in the case of disturbance-free plant output and output signal level comparable with data acquisition system accuracy is given. Convergence of the identified model to true plant is discussed. The presented discussion is illustrated by an example showing properties of the presented approach.
Keywords :
"Frequency response","Quantization","Data acquisition","Data models","Parametric statistics","Time domain analysis","Data processing"
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
Print_ISBN :
978-1-4673-2121-1
DOI :
10.1109/MMAR.2012.6347881