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Variational Principle for Stochastic Nonholonomic Systems Part II: Stochastic Nonholonomic Integrator

  • Tsinghua University
  • Nanyang Technological University
  • School of Mathematics and Statistics, Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Nonholonomic integrators are a class of geometric numerical integration schemes that are designed to simulate mechanical systems with nonholonomic constraints. To the best of our knowledge, so far there have been no variational integrators designed for stochastic systems with noisy nonholonomic constraints, which are extensively studied in robotics and control area. Based on the stochastic nonholonomic variational formulation introduced in Part I, we present a stochastic integrator for both stochastically unconstrained and stochastically nonholonomic systems under the same framework. The numerical integration scheme is obtained by deriving a discrete counterpart of the stochastic variational principle discussed in Part I.

Original languageEnglish
Title of host publicationGeometric Science of Information - 7th International Conference, GSI 2025, Proceedings
EditorsFrank Nielsen, Frédéric Barbaresco
PublisherSpringer Science and Business Media Deutschland GmbH
Pages225-233
Number of pages9
ISBN (Print)9783032039200
DOIs
Publication statusPublished - 1 Jan 2026
Externally publishedYes
Event7th International Conference on Geometric Science of Information, GSI 2025 - Saint-Malo, France
Duration: 29 Oct 202531 Oct 2025

Publication series

NameLecture Notes in Computer Science
Volume16034 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Geometric Science of Information, GSI 2025
Country/TerritoryFrance
CitySaint-Malo
Period29/10/2531/10/25

Keywords

  • Noisy constraints
  • Stochastic discrete Hamel’s formalism
  • Stochastic nonholonomic integrator

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