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A novel method for the non-parametric identification of nonlinear restoring forces in nonlinear vibrations based on response data: a dissipative nonlinear dynamical system

T.S. Jang

Open publisher page 5 citations

Abstract

This study expands on the previous work that developed an identification method for a ‘conservative system’. By extending the method to a nonconservative nonlinear system, the approach proposed herein enables the identification of the functional form of the nonlinear restoring forces in a general dissipative system based on measured response data. It does not depend on a priori information about the type of model to identify the nonlinear restoring forces. The workability of the proposed method is verified through numerical experiments.

About this research paper

What this paper is about

This study expands on the previous work that developed an identification method for a ‘conservative system’. By extending the method to a nonconservative nonlinear system, the approach proposed herein enables the identification of the functional form of the nonlinear restoring forces in a general dissipative system based on measured response data. It does not depend on a priori information about the type of model to identify the nonlinear restoring forces. The workability of the proposed method is verified through numerical experiments.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This study expands on the previous work that developed an identification method for a ‘conservative system’. By extending the method to a nonconservative nonlinear system, the approach proposed herein enables the identification of the functional form of the nonlinear restoring forces in a general dissipative system based on measured response data. It does not depend on a priori information about the type of model to identify the nonlinear restoring forces. The workability of the proposed method is verified through numerical experiments.

Key concepts: Restoring force, Nonlinear system, Dissipative system, A priori and a posteriori, Parametric statistics, Control theory (sociology), Identification (biology), Nonlinear system identification

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