
ARX System Identification in Biomedical Applications
Author(s) -
Aws Zuhair Sameen,
Rosmina Jaafar,
Mohammed Alwan,
Mohammed S. Hasan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1114.1292s319
Subject(s) - identification (biology) , system identification , field (mathematics) , systems modeling , nonlinear system identification , computer science , systems science , autoregressive model , control engineering , systems engineering , engineering , data science , data modeling , artificial intelligence , ecology , biology , mathematics , software engineering , pure mathematics , econometrics
System identification approach is a data driven establishing mathematical model of the system that has been widely applied to the astronomy, automatic control, spaceflight, aviation, economics as well as marine ecology and society. At present, system identification has been widely used in the field of biomedical engineering. The status of system identification technique becomes increasingly important with the rapid development of science and technology in various disciplines. This paper is firstly introduced both linear and nonlinear system identification, then briefly explained the Autoregressive Exogenous (ARX) approach, and finally the applications based on ARX system identification in the biomedical engineering field have been presented.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom