Regular Papers

International Journal of Control, Automation, and Systems

Published online November 30, -0001

https://doi.org/10.1007/s12555-022-0435-7

© The International Journal of Control, Automation, and Systems

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, and Chenliang Wang

Northeast Electric Power University

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.

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

Article

Regular Papers

International Journal of Control, Automation, and Systems -0001; ():

Published online November 30, -0001 https://doi.org/10.1007/s12555-022-0435-7

Copyright © The International Journal of Control, Automation, and Systems.

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, and Chenliang Wang

Northeast Electric Power University

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.

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

IJCAS
February 2024

Vol. 22, No. 2, pp. 347~729

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IJCAS

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