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A Polynomial Chaos-Based Kalman Filter Approach for Parameter Estimation of Mechanical Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Mechanical systems operate under parametric and external excitation uncertainties. The polynomial chaos approach has been shown to be more efficient than Monte Carlo for quantifying the effects ...
Parametric Design Optimization of Uncertain Ordinary Differential Equation Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This work presents a novel optimal design framework that treats uncertain dynamical systems described by ordinary differential equations. Uncertainty in multibody dynamical systems comes from various ...
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