Asynchronous sampled-data synchronization with small communications delays

Gal Barkai, Leonid Mirkin, Daniel Zelazo

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

Abstract

This study investigates the state synchronization of linear time-invariant (LTI) agents within a networked environment characterized by intermittent and asynchronous communication, alongside heterogeneous time-varying transmission delays. These delays are not assumed to be known a-priori but only time-stamped. A hybrid controller, augmented with a special kind of predictor, is proposed to compensate for the delays and guarantee synchronization. Notably, synchronization is achieved under comparable conditions to the delay-free case, provided that transmission delays are smaller than the corresponding sampling interval. This is independent of the agents' dynamics and requires no additional knowledge of the underlying communication topology. An algorithm is presented for implementing the required predictor buffer with a size of one, offering a straightforward and scalable implementation.

Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control, CDC 2024
Pages1619-1624
Number of pages6
ISBN (Electronic)9798350316339
DOIs
StatePublished - 2024
Event63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, Italy
Duration: 16 Dec 202419 Dec 2024

Publication series

NameProceedings of the IEEE Conference on Decision and Control

Conference

Conference63rd IEEE Conference on Decision and Control, CDC 2024
Country/TerritoryItaly
CityMilan
Period16/12/2419/12/24

Keywords

  • network control systems
  • Sampled-data systems
  • time delays

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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