A passivity-based approach for constrained mobile robotic networks

Tam Nguyen, Mamoru Doi, Takeshi Hatanaka, Emanuele Garone, Masayuki Fujita

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

3 Scopus citations

Abstract

This paper presents a strategy for the position control of mobile robotic networks subject to geometric con- straints. The main idea of this paper is to show that passivity arguments can be used to ensure both stability and constraint satisfaction. It is shown that it is possible to pre-stabilize the system dynamics with a proportional-integral consensus estimator and a proportional feedback loop which make use of passivity arguments. Then, the very same passivity arguments are used to ensure constraint satisfaction, using a set-invariance based Reference Governor. Simulations and experiments are carried out to demonstrate the effectiveness of the proposed solution.

Original languageEnglish
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4352-4357
Number of pages6
ISBN (Electronic)9781509018376
DOIs
StatePublished - 2016/12/27
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: 2016/12/122016/12/14

Publication series

Name2016 IEEE 55th Conference on Decision and Control, CDC 2016

Conference

Conference55th IEEE Conference on Decision and Control, CDC 2016
Country/TerritoryUnited States
CityLas Vegas
Period2016/12/122016/12/14

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Optimization

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