Digital Implementation of Derivative-Dependent Control by Using Delays for Stochastic Multiagents

Jin Zhang, Emilia Fridman

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, we study the digital implementation of derivative-dependent control for consensus of stochastic multiagent systems. The consensus controllers that depend on the output and its derivatives are approximated as delayed sampled-data controllers. First, we consider the nth-order stochastic multiagent systems. Second, we consider PID control of the second-order stochastic multiagent systems. For the consensus analysis, we propose novel Lyapunov functionals to derive linear matrix inequalities that allow us to find an admissible sampling period. The efficiency of the presented approach is illustrated by numerical examples.

Original languageEnglish
Pages (from-to)351-358
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume67
Issue number1
DOIs
StatePublished - 1 Jan 2022

Keywords

  • Consensus
  • linear matrix inequalities (LMIs)
  • sampled-data control
  • stochastic multiagent systems

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