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The Girsanov Linearization Method for Stochastically Driven Nonlinear Oscillators
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: For most practical purposes, the focus is often on obtaining statistical moments of the response of stochastically driven oscillators than on the determination of pathwise response histories. In ...
Monte–Carlo Based Method for Predicting Extreme Value Statistics of Uncertain Structures
Publisher: American Society of Civil Engineers
Abstract: In the present paper, a simple method is proposed for predicting the extreme response of uncertain structures subjected to stochastic excitation. Many of the currently used approaches to extreme response predictions are ...
Two-Stage Extended Kalman Filters with Derivative-Free Local Linearizations
Publisher: American Society of Civil Engineers
Abstract: This paper proposes a derivative-free two-stage extended Kalman filter (2-EKF) especially suited for state and parameter identification of mechanical oscillators under Gaussian white noise. Two sources of modeling uncertainties ...
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