An Binghe, Fan Huijin, Wang Bo, Liu Lei, Wang Yongji
National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China.
National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China.
ISA Trans. 2024 Aug;151:19-32. doi: 10.1016/j.isatra.2024.05.031. Epub 2024 May 24.
The formation tracking of the leader-follower multi-agent systems (MASs) under switching topologies is investigated. The considered system is exposed to both the mismatched and matched disturbances in the dynamics of the leader and followers, which places higher requirements for the robustness of the control protocol. In the presence of disturbances and leader's unknown control input, an innovative distributed observer embedded with robust terms is designed firstly to estimate leader's states in finite time. Taking account of the switching topologies, a novel analysis scheme that divides the convergence process into two stages is proposed to establish the finite-time (FT) convergence of estimation errors. Then, by virtue of a constructed auxiliary variable, a FT controller with an event-triggered mechanism is put forward, in which multiple robust feedback terms are designed wisely to suppress the mismatched and matched disturbances effectively. As a result, the FT formation tracking can be achieved with saved resources, despite perturbed environments and switching topologies. Simulation examples are presented to confirm the effectiveness of the proposed algorithm.
研究了切换拓扑下领导者-跟随者多智能体系统(MASs)的编队跟踪问题。所考虑的系统在领导者和跟随者的动力学中同时受到不匹配和匹配干扰,这对控制协议的鲁棒性提出了更高要求。在存在干扰和领导者未知控制输入的情况下,首先设计了一种嵌入鲁棒项的创新分布式观测器,用于在有限时间内估计领导者的状态。考虑到切换拓扑,提出了一种将收敛过程分为两个阶段的新颖分析方案,以建立估计误差的有限时间(FT)收敛。然后,借助构造的辅助变量,提出了一种具有事件触发机制的FT控制器,其中明智地设计了多个鲁棒反馈项,以有效抑制不匹配和匹配干扰。结果,尽管存在扰动环境和切换拓扑,仍可通过节省资源实现FT编队跟踪。给出了仿真示例以验证所提算法的有效性。