Sampled-Data Consensus Control With Distinct Input Delays and Switching Networks

Ran Huang; Jinhui Zhang

doi:10.1109/TAC.2025.3577962

Sampled-Data Consensus Control With Distinct Input Delays and Switching Networks

Ran Huang
, Jinhui Zhang^*

^*Corresponding author for this work

Beijing University of Chemical Technology
Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this article, we develop a new delay compensation framework for solving consensus problems over a static directed graph, as well as dynamic graphs with joint connectedness. The idea is to employ the “nominal” control law designed for the delay-free case combined with the “approximate predictor-based” compensation of delays. The proposed control laws can achieve global consensus in the presence of arbitrarily long time delays, and no extra condition is introduced in comparison with the delay-free case. Numerical simulations are presented to validate the effectiveness of the proposed scheme.

Original language	English
Pages (from-to)	7667-7674
Number of pages	8
Journal	IEEE Transactions on Automatic Control
Volume	70
Issue number	11
DOIs	https://doi.org/10.1109/TAC.2025.3577962
Publication status	Published - 2025
Externally published	Yes

Keywords

Delay compensation
heterogeneous large time delays
sampled-data consensus control

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10.1109/TAC.2025.3577962

Cite this

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title = "Sampled-Data Consensus Control With Distinct Input Delays and Switching Networks",

abstract = "In this article, we develop a new delay compensation framework for solving consensus problems over a static directed graph, as well as dynamic graphs with joint connectedness. The idea is to employ the “nominal” control law designed for the delay-free case combined with the “approximate predictor-based” compensation of delays. The proposed control laws can achieve global consensus in the presence of arbitrarily long time delays, and no extra condition is introduced in comparison with the delay-free case. Numerical simulations are presented to validate the effectiveness of the proposed scheme.",

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AB - In this article, we develop a new delay compensation framework for solving consensus problems over a static directed graph, as well as dynamic graphs with joint connectedness. The idea is to employ the “nominal” control law designed for the delay-free case combined with the “approximate predictor-based” compensation of delays. The proposed control laws can achieve global consensus in the presence of arbitrarily long time delays, and no extra condition is introduced in comparison with the delay-free case. Numerical simulations are presented to validate the effectiveness of the proposed scheme.

KW - Delay compensation

KW - heterogeneous large time delays

KW - sampled-data consensus control

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ER -

Sampled-Data Consensus Control With Distinct Input Delays and Switching Networks

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Keywords

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