Continuous-time double integrator consensus algorithms improved by an appropriate sampling - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Continuous-time double integrator consensus algorithms improved by an appropriate sampling

Gabriel Rodrigues de Campos
  • Function : Author
  • PersonId : 878793
Alexandre Seuret

Abstract

This paper deals with the double integrator consensus problem. The objective is the design of a new consensus algorithm for continuous-time multi-agent systems. The dynamic of agents is assumed to be of double integrator type. The proposed algorithm considers that there are no sensors to measure the velocity of the agents. Thus the classical double integrator consensus algorithm leads to an oscillatory behavior if the communication graph is undirected and to instability if the graph is directed. The novel algorithm proposes to sampled, in an appropriate manner, part of the multi-agent systems state such that the algorithm converges. An expression of the consensus equilibrium is provided. Some examples are provided to show the efficiency of the new algorithm.

Domains

Automatic
Fichier principal
Vignette du fichier
0017.pdf (1.63 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00515427 , version 1 (06-09-2010)

Identifiers

Cite

Gabriel Rodrigues de Campos, Alexandre Seuret. Continuous-time double integrator consensus algorithms improved by an appropriate sampling. NecSys 2010 - 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Sep 2010, Annecy, France. pp.017, ⟨10.3182/20100913-2-FR-4014.00017⟩. ⟨hal-00515427⟩
221 View
429 Download

Altmetric

Share

Gmail Facebook X LinkedIn More