Title :
Parameters identification for piecewise linear models with weakly varying noise
Author :
Rovatti, R. ; Fantuzzi, C. ; Simani, S. ; Beghelli, S.
Author_Institution :
Dipt. di Elettronica, Inf. e Sistemistica, Bologna Univ., Italy
Abstract :
This paper concerns the identification of piecewise linear models from noisy data. The identification procedure is formulated within the Frisch scheme (1934), a technique well established for linear systems
Keywords :
noise; parameter estimation; piecewise linear techniques; noisy data; parameters identification; piecewise linear models; weakly varying noise; Additive noise; Continuous time systems; Ear; Linear systems; Parameter estimation; Piecewise linear techniques; Sampling methods; Stochastic resonance; System identification; Working environment noise;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.762024
