189
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Consensus of feedforward nonlinear systems with a time-varying communication delay

ORCID Icon
Pages 1106-1114 | Received 03 Feb 2016, Accepted 17 Sep 2016, Published online: 03 Oct 2016
 

ABSTRACT

The consensus problem of feedforward nonlinear systems under an undirected network with a time-varying communication delay is studied. In order to solve this problem, new consensus controller with an additional design parameter that can eliminate the effect of a feedforward nonlinearity and a time-varying communication delay on the consensus problem is proposed. Also, it is proved that if an upper bound of time-varying delay is known, the proposed consensus controller can always solve the consensus problem of multi-agent systems even in the presence of feedforward nonlinearity and an arbitrarily large communication delay. A numerical example is given to illustrate the validness of the proposed approach.

Additional information

Notes on contributors

Sungryul Lee

Sungryul Lee was born in Andong, Korea, in 1973. He received his B.S., M.S., and Ph.D. degrees in electronic engineering from Yonsei University, Seoul, Korea, in 1996, 1998, and 2003, respectively. From 2003 to 2007, he was a research engineer with Samsung Electronics, Korea. Since 2007, he has been a professor in the Department of Control and Robotics Engineering, Kunsan National University, Korea. His research interests include nonlinear control theory and consensus of multi-agent systems.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,413.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.