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 nonlin-earities. 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.
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