@inproceedings{8048647ba65b4b1996c2641f789f853b,
title = "Nonlinear parametric system identification using hard excitations",
abstract = "This paper presents a new approach for the parametric identification of nonlinear systems. The approach is based on subjecting a nonlinear system to a strong high-frequency excitation and monitoring its influence on the slow modulation of the system's response which occurs near its natural frequency. The identification procedure is outlined and numerically implemented on a Duffing-type system with unknown quadratic and cubic nonlinearities. The proposed technique is then implemented to identify the nonlinear parameters of three different experimental systems. Results demonstrate that the proposed approach predicts the nonlinear parameters with good accuracy.",
author = "Abdraouf Abusoua and Daqaq, {Mohammed F.}",
year = "2016",
doi = "10.1115/SMASIS2016-9075",
language = "English (US)",
series = "ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2016",
publisher = "American Society of Mechanical Engineers",
booktitle = "Modeling, Simulation and Control; Bio-Inspired Smart Materials and Systems; Energy Harvesting",
note = "ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2016 ; Conference date: 28-09-2016 Through 30-09-2016",
}