Multi-agent network flows that solve linear complementarity problems

Shu Liang, Xianlin Zeng

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
页(从-至)542-556
页数15
期刊Kybernetika
54
3
DOI
出版状态已出版 - 2018

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