Event-based consensus for a class of heterogeneous multi-agent systems: An LMI approach

Amir Amini; Arash Mohammadi; Amir Asif

ICASSP 2017accepted0 citations

Event-based consensus for a class of heterogeneous multi-agent systems: An LMI approach

Abstract

Based on the theory of linear matrix inequalities (LMI), this paper proposes an event-based distributed consensus algorithm for linear multi-agent/sensor networks that are heterogeneous. The proposed scheme is event-based in the sense that each agent transmits its information to its neighbouring nodes only under predefined circumstances. Ensuring the stability of the closed-loop system, the Lyapunov theorem is utilized to compute design parameters (heterogeneous controller gains and transmission threshold) used in the proposed consensus algorithm. Numerical simulations demonstrate a performance gain in the convergence time and a reduction in the number of data transmissions with the proposed approach.

BibTeX

@inproceedings{icassp2017_eventbasedconsen,
  title = {Event-based consensus for a class of heterogeneous multi-agent systems: An LMI approach},
  author = {Amir Amini and Arash Mohammadi and Amir Asif},
  booktitle = {ICASSP 2017},
  year = {2017}
}