Safe coordination control policy for multiple input constrained nonholonomic vehicles

Juan S. Mejía, Dušan M. Stipanović

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a decentralized control policy for coordinating a group of nonholonomic autonomous vehicles (non necessarily homogeneous) with input constraints moving in ℝ2, aiming to satisfy individual (trajectory tracking) and common objectives (guaranteed vehicles safety). The proposed policy models the discrete operation modes of each participating vehicle as a hybrid automaton, while obtaining control inputs for each discrete mode from a particular model predictive control formulation or from a preselected constant control input. The proposed control policy results in partial fulfillment of the trajectory tracking problem and safety guarantees for all involved vehicles while preserving the overall system stability. The policy incorporates elements of model predictive control and hybrid system stability theory, more specifically stability results related to multiple Lyapunov functions.

Original languageEnglish (US)
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5679-5684
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: Dec 15 2009Dec 18 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period12/15/0912/18/09

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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