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
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.
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.
Lingfang Sun, Yida Zang, Xiuyu Zhang*, Guoqiang Zhu*, Cheng Zhong, and Chenliang Wang
Northeast Electric Power University
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.
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