Adaptive Event-triggered Cooperative Tracking Control Under Full-state Constraints Based on Nonlinear Time-varying Multi-agent Systems

Lingfang Sun; Yida Zang; Xiuyu Zhang; Guoqiang Zhu; Cheng Zhong; Chenliang Wang

doi:10.1007/s12555-022-0435-7

Adaptive Event-triggered Cooperative Tracking Control Under Full-state Constraints Based on Nonlinear Time-varying Multi-agent Systems

Lingfang Sun
, Yida Zang
, Xiuyu Zhang^*
, Guoqiang Zhu^*
, Cheng Zhong
, Chenliang Wang

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Northeast Electric Power University
Jilin Province International Research Center of Precision Drive and Intelligent Control
Tangshan Power Supply Company

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

5 Scopus citations

Abstract

An adaptive dynamic surface control (DSC) scheme using event triggering mechanism and barrier Lyapunov function (BLF) to constraint state variables and solve energy saving issues is proposed for multi-agent systems (MASs). Furthermore, invented a control algorithm that uses the event-triggered mechanism for not only decrease the number of information exchanges between agents significantly but also decreased utilization of electricity and communication expenses in the control process. DSC and full-state constraints are used to solve the “complexity explosion” problem of the traditional back-stepping method. Simulation and semi-physical experimental platforms were constructed to verify the proposed algorithm is valid.

Original language	English
Pages (from-to)	867-882
Number of pages	16
Journal	International Journal of Control, Automation and Systems
Volume	22
Issue number	3
DOIs	https://doi.org/10.1007/s12555-022-0435-7
State	Published - Mar 2024

Keywords

Adaptive control
barrier Lyapunov function
dynamic surface control
event-triggered control
high-order nonlinear
multi-agent systems
time-varying

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10.1007/s12555-022-0435-7

Cite this

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title = "Adaptive Event-triggered Cooperative Tracking Control Under Full-state Constraints Based on Nonlinear Time-varying Multi-agent Systems",

abstract = "An adaptive dynamic surface control (DSC) scheme using event triggering mechanism and barrier Lyapunov function (BLF) to constraint state variables and solve energy saving issues is proposed for multi-agent systems (MASs). Furthermore, invented a control algorithm that uses the event-triggered mechanism for not only decrease the number of information exchanges between agents significantly but also decreased utilization of electricity and communication expenses in the control process. DSC and full-state constraints are used to solve the {\textquotedblleft}complexity explosion{\textquotedblright} problem of the traditional back-stepping method. Simulation and semi-physical experimental platforms were constructed to verify the proposed algorithm is valid.",

keywords = "Adaptive control, barrier Lyapunov function, dynamic surface control, event-triggered control, high-order nonlinear, multi-agent systems, time-varying",

author = "Lingfang Sun and Yida Zang and Xiuyu Zhang and Guoqiang Zhu and Cheng Zhong and Chenliang Wang",

note = "Publisher Copyright: {\textcopyright} ICROS, KIEE and Springer 2024.",

year = "2024",

month = mar,

doi = "10.1007/s12555-022-0435-7",

language = "英语",

volume = "22",

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T1 - Adaptive Event-triggered Cooperative Tracking Control Under Full-state Constraints Based on Nonlinear Time-varying Multi-agent Systems

AU - Sun, Lingfang

AU - Zang, Yida

AU - Zhang, Xiuyu

AU - Zhu, Guoqiang

AU - Zhong, Cheng

AU - Wang, Chenliang

N1 - Publisher Copyright: © ICROS, KIEE and Springer 2024.

PY - 2024/3

Y1 - 2024/3

N2 - An adaptive dynamic surface control (DSC) scheme using event triggering mechanism and barrier Lyapunov function (BLF) to constraint state variables and solve energy saving issues is proposed for multi-agent systems (MASs). Furthermore, invented a control algorithm that uses the event-triggered mechanism for not only decrease the number of information exchanges between agents significantly but also decreased utilization of electricity and communication expenses in the control process. DSC and full-state constraints are used to solve the “complexity explosion” problem of the traditional back-stepping method. Simulation and semi-physical experimental platforms were constructed to verify the proposed algorithm is valid.

AB - An adaptive dynamic surface control (DSC) scheme using event triggering mechanism and barrier Lyapunov function (BLF) to constraint state variables and solve energy saving issues is proposed for multi-agent systems (MASs). Furthermore, invented a control algorithm that uses the event-triggered mechanism for not only decrease the number of information exchanges between agents significantly but also decreased utilization of electricity and communication expenses in the control process. DSC and full-state constraints are used to solve the “complexity explosion” problem of the traditional back-stepping method. Simulation and semi-physical experimental platforms were constructed to verify the proposed algorithm is valid.

KW - Adaptive control

KW - barrier Lyapunov function

KW - dynamic surface control

KW - event-triggered control

KW - high-order nonlinear

KW - multi-agent systems

KW - time-varying

UR - https://www.scopus.com/pages/publications/85182444845

U2 - 10.1007/s12555-022-0435-7

DO - 10.1007/s12555-022-0435-7

M3 - 文章

AN - SCOPUS:85182444845

SN - 1598-6446

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JO - International Journal of Control, Automation and Systems

JF - International Journal of Control, Automation and Systems

IS - 3

ER -

Adaptive Event-triggered Cooperative Tracking Control Under Full-state Constraints Based on Nonlinear Time-varying Multi-agent Systems

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Keywords

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