Open AccessNeural-networks-based Disturbance Observer and Tracker Design in the Presence of Unknown Control Direction and Non-affine Nonlinearities
Author(s) -
Hyoung Oh Kim,
Sung Jin Yoo
Publication year - 2017
Publication title -
jeon-gi hakoe nonmunji/jeon'gi haghoe nonmunji
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.174
H-Index - 11
eISSN - 2287-4364
pISSN - 1975-8359
DOI - 10.5370/kiee.2017.66.4.666
Subject(s) - control theory (sociology) , affine transformation , nonlinear system , observer (physics) , artificial neural network , stability (learning theory) , disturbance (geology) , mathematics , tracking (education) , computer science , control (management) , artificial intelligence , physics , machine learning , psychology , paleontology , pedagogy , quantum mechanics , pure mathematics , biology