Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4977152 | Mechanical Systems and Signal Processing | 2017 | 11 Pages |
Abstract
This paper focuses on the formulation, assessment, and application of a modeling strategy of uncertainty on the mass characteristics of rigid bodies, i.e. mass, position of center of mass, and inertia tensor. These characteristics are regrouped into a 4Ã4 matrix the elements of which are represented as random variables with joint probability density function derived following the maximum entropy framework. This stochastic model is first shown to satisfy all properties expected of the mass and tensor of inertia of rigid bodies. Its usefulness and computational efficiency are next demonstrated on the behavior of a rigid body in pure rotation exhibiting significant uncertainty in mass distribution.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Lanae A. Richter, Marc P. Mignolet,