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Book
ISBN: 1000028591 3866448627 Year: 2012 Publisher: KIT Scientific Publishing
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A predictive tracking approach and a novel method for visual motion compensation are introduced, which accurately reconstruct and compensate the deformation of the elastic object, even in the case of complete measurement information loss. The core of the methods involves a probabilistic physical model of the object, from which all other mathematical models are systematically derived. Due to flexible adaptation of the models, the balance between their complexity and their accuracy is achieved.
stochastic estimation --- physics-based modeling --- robotics --- distributed parameter systems --- beating heart surgery --- video processing --- probabilistic models
Book
ISBN: 1000066940 3731506424 Year: 2017 Publisher: KIT Scientific Publishing
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In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The framework using gPC based on Bayesian UQ proposed in this work is capable of analyzing the system systematically and reducing the disagreement between the model predictions and the measurements of the real processes to fulfill user defined performance criteria.
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