Using delays for digital implementation of derivative-dependent control of stochastic multi-agents

Jin Zhang, Emilia Fridman

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, we study the digital implementation of derivative-dependent control for consensus of the nth-order stochastic multi-agent systems. The consensus controllers that depend on the output and its derivatives up to the order n − 1 are approximated as delayed sampled-data controllers. For the consensus analysis, we propose novel Lyapunov-Krasovskii functionals to derive linear matrix inequalities (LMIs) that allow to find admissible sampling period. The efficiency of the presented approach is illustrated by numerical examples.

Original languageEnglish
Pages (from-to)3602-3607
Number of pages6
JournalIFAC-PapersOnLine
Volume53
DOIs
StatePublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020

Keywords

  • Consensus
  • LMIs
  • Sampled-data control
  • Stochastic multi-agent systems

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