This paper concentrates on the problem of event triggered adaptive leader-following control for a class of multiagent systems. The considered systems contain completely unknown interconnections and arbitrary asynchronously switching. To handle these nonlinearties, a new hierarchical barrier Lyapunov method is proposed. Based on this method, a novel adaptive fuzzy control strategy is designed to make the output tracking errors of the multiagent systems converge to a small neighborhood of origin. Stability analysis shows that the proposed method can guarantee the compact set conditions of the fuzzy logic systems during the entire design process. Meanwhile, to reduce the computational burden, novel event triggered mechanisms are presented for both the transmission between two connected agents, and the communication between the sensor and the controller in one agent. An illustrative example is presented to verify the effectiveness of the proposed controller.

中文翻译：

---

互连交换多智能体系统的事件触发自适应模糊共识


本文主要研究一类多智能体系统的事件触发自适应领导者跟随控制问题。所考虑的系统包含完全未知的互连和任意异步切换。为了处理这些非线性，提出了一种新的分层势垒李亚普诺夫方法。基于该方法，设计了一种新颖的自适应模糊控制策略，使多智能体系统的输出跟踪误差收敛到一个小的原点邻域。稳定性分析表明，该方法能够保证模糊逻辑系统在整个设计过程中的紧集条件。同时，为了减少计算负担，为两个连接的代理之间的传输以及一个代理中的传感器和控制器之间的通信提出了新颖的事件触发机制。给出了一个说明性示例来验证所提出的控制器的有效性。