Data-driven control of network systems: accounting for communication adaptivity and security

Gang Wang; Wenjie Liu; Yifei Li; Xin Wang; Jian Sun; Jie Chen

doi:10.1007/s11432-024-4682-9

Data-driven control of network systems: accounting for communication adaptivity and security

Gang Wang
, Wenjie Liu
, Yifei Li
, Xin Wang
, Jian Sun^*
, Jie Chen

^*此作品的通讯作者

Beijing Institute of Technology
Changsha University of Science and Technology
Harbin Institute of Technology

科研成果: 期刊稿件 › 文献综述 › 同行评审

5 引用（Scopus）

摘要

Over the past decades, network systems have surged in significance, driven by merging technological advancements. These systems play pivotal roles in diverse applications ranging from autonomous driving to smart grids, yet they confront complexities arising from network imperfections and intricate interconnections, which challenge system identification, controller design, as well as stability and performance analysis. This survey provides an in-depth exploration of network systems from the most recent data-driven perspective, across four key issues: communication delay, aperiodic sampling, network security, and distributed configurations. By doing so, this survey enhances our comprehension of the challenges and theoretical innovations within the realm of network systems.

源语言	英语
期刊论文编号	121201
期刊	Science China Information Sciences
卷	69
期	2
DOI	https://doi.org/10.1007/s11432-024-4682-9
出版状态	已出版 - 2月 2026
已对外发布	是

访问文件

10.1007/s11432-024-4682-9

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{d8645d4465e0470a80b48b341541800c,

title = "Data-driven control of network systems: accounting for communication adaptivity and security",

abstract = "Over the past decades, network systems have surged in significance, driven by merging technological advancements. These systems play pivotal roles in diverse applications ranging from autonomous driving to smart grids, yet they confront complexities arising from network imperfections and intricate interconnections, which challenge system identification, controller design, as well as stability and performance analysis. This survey provides an in-depth exploration of network systems from the most recent data-driven perspective, across four key issues: communication delay, aperiodic sampling, network security, and distributed configurations. By doing so, this survey enhances our comprehension of the challenges and theoretical innovations within the realm of network systems.",

keywords = "aperiodic sampling, data-driven control, distributed control, networked control, resilient control",

author = "Gang Wang and Wenjie Liu and Yifei Li and Xin Wang and Jian Sun and Jie Chen",

note = "Publisher Copyright: {\textcopyright} Science China Press 2026.",

year = "2026",

month = feb,

doi = "10.1007/s11432-024-4682-9",

language = "English",

volume = "69",

journal = "Science China Information Sciences",

issn = "1674-733X",

publisher = "Science China Press",

number = "2",

}

TY - JOUR

T1 - Data-driven control of network systems

T2 - accounting for communication adaptivity and security

AU - Wang, Gang

AU - Liu, Wenjie

AU - Li, Yifei

AU - Wang, Xin

AU - Sun, Jian

AU - Chen, Jie

N1 - Publisher Copyright: © Science China Press 2026.

PY - 2026/2

Y1 - 2026/2

N2 - Over the past decades, network systems have surged in significance, driven by merging technological advancements. These systems play pivotal roles in diverse applications ranging from autonomous driving to smart grids, yet they confront complexities arising from network imperfections and intricate interconnections, which challenge system identification, controller design, as well as stability and performance analysis. This survey provides an in-depth exploration of network systems from the most recent data-driven perspective, across four key issues: communication delay, aperiodic sampling, network security, and distributed configurations. By doing so, this survey enhances our comprehension of the challenges and theoretical innovations within the realm of network systems.

AB - Over the past decades, network systems have surged in significance, driven by merging technological advancements. These systems play pivotal roles in diverse applications ranging from autonomous driving to smart grids, yet they confront complexities arising from network imperfections and intricate interconnections, which challenge system identification, controller design, as well as stability and performance analysis. This survey provides an in-depth exploration of network systems from the most recent data-driven perspective, across four key issues: communication delay, aperiodic sampling, network security, and distributed configurations. By doing so, this survey enhances our comprehension of the challenges and theoretical innovations within the realm of network systems.

KW - aperiodic sampling

KW - data-driven control

KW - distributed control

KW - networked control

KW - resilient control

UR - https://www.scopus.com/pages/publications/105028264665

U2 - 10.1007/s11432-024-4682-9

DO - 10.1007/s11432-024-4682-9

M3 - Review article

AN - SCOPUS:105028264665

SN - 1674-733X

VL - 69

JO - Science China Information Sciences

JF - Science China Information Sciences

IS - 2

M1 - 121201

ER -

Data-driven control of network systems: accounting for communication adaptivity and security

摘要

访问文件

其它文件与链接

学术指纹

引用此