Adaptive Estimation of Friction Forces under a Sector Condition

Autor:	Kouichi Mitsunaga, Takami Matsuo
Rok vydání:	2007
Předmět:	Estimation Adaptive filter Nonlinear system Position (vector) Control theory Fuzzy set Kernel adaptive filter Filter (signal processing) Differential (infinitesimal) Mathematics
Zdroj:	Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007).
DOI:	10.1109/icicic.2007.111
Popis:	In this paper, we design an adaptive observer to estimate the nonlinear friction model with the position measurement. An adaptive observer is designed to estimate the nonlinear friction force with full-states measurement. The nonlinear friction is approximated by the fuzzy basis function expansion. An incremental sector condition as in Putra et al. are assumed. Moreover, we introduce an adaptive differential filter to estimates the velocity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::242a21d45bc7d4532e039b6ab9adca67 https://doi.org/10.1109/icicic.2007.111 Zobrazit plný text záznamu