Distributed continuous-time algorithm for solving linear complementarity problems with exponential convergence

Shu Liang, Xianlin Zeng, Yiguang Hong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Distributed linear complementarity problems are important with many applications. A continuous-time nonsmooth algorithm is proposed in a distributed manner to solve the problem with positive definite matrices. Then existence and uniqueness of the solution to the proposed algorithm are analyzed and its exponential convergence is achieved. Moreover, simulations are also given for illustration.

Original languageEnglish
Title of host publication2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PublisherIEEE Computer Society
Pages728-733
Number of pages6
ISBN (Print)9781538660898
DOIs
Publication statusPublished - 21 Aug 2018
Event14th IEEE International Conference on Control and Automation, ICCA 2018 - Anchorage, United States
Duration: 12 Jun 201815 Jun 2018

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2018-June
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference14th IEEE International Conference on Control and Automation, ICCA 2018
Country/TerritoryUnited States
CityAnchorage
Period12/06/1815/06/18

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