Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(3): 867-882

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, highorder nonlinear, multi-agent systems, time-varying.

Article

Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(3): 867-882

Published online March 1, 2024 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, highorder nonlinear, multi-agent systems, time-varying.

IJCAS
September 2024

Vol. 22, No. 9, pp. 2673~2953

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