contributor author | LaViers, A. , Egerstedt, M. | |
date accessioned | 2020-03-12T19:58:33Z | |
date available | 2020-03-12T19:58:33Z | |
date issued | 2014 | |
identifier other | 6843713.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/997219?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Style-based abstractions for human motion classification | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8117128 | |
subject keywords | feedback | |
subject keywords | function approximation | |
subject keywords | linear systems | |
subject keywords | neurocontrollers | |
subject keywords | constrained linear system | |
subject keywords | function approximation | |
subject keywords | input-output manifold | |
subject keywords | neural network fitting | |
subject keywords | noise measurement | |
subject keywords | online control law | |
subject keywords | set invariance | |
subject keywords | Computational modeling | |
subject keywords | Manifolds | |
subject keywords | Neural networks | |
subject keywords | Noise | |
subject keywords | Output feedback | |
subject keywords | Runtime | |
identifier doi | 10.1109/CICA.2014.7013246 | |
journal title | yber-Physical Systems (ICCPS), 2014 ACM/IEEE International Conference on | |
filesize | 985219 | |
citations | 0 | |