TY - JOUR
T1 - LMS filter based frequency domain system identification of mass – spring – damper system with varying dynamics
AU - Netto, Winston
AU - Asensio, Eloy Pena
AU - Sundaram, S. Meenatchi
AU - Srinivasan, C. R.
N1 - Funding Information:
The authors would like to acknowledge the support provided by Manipal Institute of Technology, MAHE, for performing this work.
Publisher Copyright:
© 2022, North Atlantic University Union NAUN. All rights reserved.
PY - 2022
Y1 - 2022
N2 - — All practical and real-time systems are non-linear and dynamic in nature. In the majority of studies associated with systems, it is assumed that the system is linear and the dynamics of the system is remaining constant. Though these assumptions help in easier mathematical formulations of the systems, it also imposes a lot of restrictions on understanding the system completely and its behavior in depth. In this study, the focus is on capturing the varying dynamics of Mass-Spring – Damper system using a frequency domain-based system identification approach. The system identification technique is based on an adaptive filter which is implemented through MATLAB software.
AB - — All practical and real-time systems are non-linear and dynamic in nature. In the majority of studies associated with systems, it is assumed that the system is linear and the dynamics of the system is remaining constant. Though these assumptions help in easier mathematical formulations of the systems, it also imposes a lot of restrictions on understanding the system completely and its behavior in depth. In this study, the focus is on capturing the varying dynamics of Mass-Spring – Damper system using a frequency domain-based system identification approach. The system identification technique is based on an adaptive filter which is implemented through MATLAB software.
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U2 - 10.46300/9104.2022.16.1
DO - 10.46300/9104.2022.16.1
M3 - Article
AN - SCOPUS:85127546601
SN - 1998-4448
VL - 16
JO - International Journal of Mechanics
JF - International Journal of Mechanics
ER -