International Journal of Control, Automation, and Systems 2023; 21(9): 2835-2843
https://doi.org/10.1007/s12555-022-0331-1
© The International Journal of Control, Automation, and Systems
In this paper, we consider a containment control problem for a class of uncertain multi-agent systems (MASs). The systems contain unknown parameters and virtual control gain functions. By introducing lower bounds of virtual control gain functions into the Lyapunov functions, a novel controller design scheme is proposed based on an adaptive control design approach and bound estimation method. The designed controller is simpler in comparison with other controllers. The simulation results show that three followers converge into the convex hull rapidly following the sinusoidal leaders, and the effectiveness of the designed controller is verified.
Keywords Adaptive backstepping control, containment control, multi-agent systems, uncertain nonlinear systems.
International Journal of Control, Automation, and Systems 2023; 21(9): 2835-2843
Published online September 1, 2023 https://doi.org/10.1007/s12555-022-0331-1
Copyright © The International Journal of Control, Automation, and Systems.
Meng-Yi Jiang, Yong-Hui Yang, Li-Bing Wu, and Qi Li*
University of Science and Technology Liaoning
In this paper, we consider a containment control problem for a class of uncertain multi-agent systems (MASs). The systems contain unknown parameters and virtual control gain functions. By introducing lower bounds of virtual control gain functions into the Lyapunov functions, a novel controller design scheme is proposed based on an adaptive control design approach and bound estimation method. The designed controller is simpler in comparison with other controllers. The simulation results show that three followers converge into the convex hull rapidly following the sinusoidal leaders, and the effectiveness of the designed controller is verified.
Keywords: Adaptive backstepping control, containment control, multi-agent systems, uncertain nonlinear systems.
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