Multi-agent network flows that solve linear complementarity problems

Shu Liang, Xianlin Zeng

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we consider linear complementarity problems with positive definite matrices through a multi-agent network. We propose a distributed continuous-time algorithm and show its correctness and convergence. Moreover, with the help of Kalman–Yakubovich–Popov lemma and Lyapunov function, we prove its asymptotic convergence. We also present an alternative distributed algorithm in terms of an ordinary differential equation. Finally, we illustrate the effectiveness of our method by simulations.

Original languageEnglish
Pages (from-to)542-556
Number of pages15
JournalKybernetika
Volume54
Issue number3
DOIs
Publication statusPublished - 2018

Keywords

  • Continuous-time algorithm
  • Distributed algorithm
  • Linear complementarity problem
  • Multi-agent network
  • Nonsmooth algorithm

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