标题： 事件触发的基于观测器的不确定非线性多智能体系统固定时间一致性控制研究 显示英文标题

标题： Event-Triggered Observer-Based Fixed-Time Consensus Control for Uncertain Nonlinear Multiagent Systems with Unknown States

摘要： 本文介绍了一种在多智能体系统（MASs）中实现固定时间跟踪一致性控制的新方法。 不同于依赖传统控制器，我们的创新控制器结合了改进的调节方法和Lyapunov函数以确保稳定性与收敛性。此外，我们还实施了一种事件触发策略，旨在减少更新频率，同时采用输出反馈观测器有效管理未测量的状态。 为应对未知函数和代数环问题的挑战，我们选择了径向基函数神经网络（RBF NNs），因其表现出色而被采用。 我们的方法成功缓解了Zeno行为，并在狭窄的范围内确保了系统的稳定性。通过两个具有代表性的仿真示例验证了所提出解决方案的有效性。 显示英文摘要

摘要： This paper introduces a novel approach for achieving fixed-time tracking consensus control in multiagent systems (MASs). Departing from the reliance on traditional controllers, our innovative controller integrates modified tuning and Lyapunov functions to guarantee stability and convergence. Furthermore, we have implemented an event-triggered strategy aimed at reducing the frequency of updates, alongside an output-feedback observer to manage unmeasured states effectively. To address the challenges posed by unknown functions and algebraic-loop problems, we opted for radial basis function neural networks (RBF NNs), chosen for their superior performance. Our methodology successfully mitigates Zeno's behavior and ensures stability within a narrowly defined set. The efficacy of our proposed solution is validated through two illustrative simulation examples.