
arXiv: 1002.4733
This paper develops different discretization schemes for nonholonomic mechanical systems through a discrete geometric approach. The proposed methods are designed to account for the special geometric structure of the nonholonomic motion. Two different families of nonholonomic integrators are developed and examined numerically: the geometric nonholonomic integrator (GNI) and the reduced d'Alembert-Pontryagin integrator (RDP). As a result, the paper provides a general tool for engineering applications, i.e. for automatic derivation of numerically accurate and stable dynamics integration schemes applicable to a variety of robotic vehicle models.
Geometric integrator, Nonholonomic mechanics, discrete variational calculus, reduction by symmetries, Geometric integrator, Nonholonomic mechanics, FOS: Physical sciences, reduction by symmetries, Mathematical Physics (math-ph), 58F15, 58F17, 53C35, Mathematical Physics, discrete variational calculus, 620, 510
Geometric integrator, Nonholonomic mechanics, discrete variational calculus, reduction by symmetries, Geometric integrator, Nonholonomic mechanics, FOS: Physical sciences, reduction by symmetries, Mathematical Physics (math-ph), 58F15, 58F17, 53C35, Mathematical Physics, discrete variational calculus, 620, 510
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
