In this article, the event-triggered cooperative output regulation problem of T–S fuzzy multiagent systems under jointly connected switching directed topologies is investigated. A distributed sampled-data event-triggered scheme is proposed such that the estimator, which estimates the exosystem, transmits the data information to its neighbors under the switching directed topologies at its triggering instants. The continuous event detection and triggering Zeno behavior are avoided via aperiodic sampling. Then, the time-dependent Lyapunov functional approach together with the dwell time technique is utilized, such that the estimation errors converge to zero exponentially. Furthermore, the observer-based fuzzy controllers are developed to ensure the solvability of the cooperative output regulation. Besides, the advantage of the distributed sampled-data event-triggered scheme is that the data transmissions caused by triggerings and switchings are autocephalous, which avoids the situation that triggering must occur at the switching points. Finally, an example is given to show the validity of results.

中文翻译：

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切换有向拓扑和事件触发通信下 T-S 模糊多智能体系统的协同输出调节

在本文中，研究了联合连接切换有向拓扑下 T-S 模糊多智能体系统的事件触发协同输出调节问题。提出了一种分布式采样数据事件触发方案，使得估计外系统的估计器在其触发时刻在切换定向拓扑下将数据信息传输到其邻居。通过非周期性采样避免了连续事件检测和触发 Zeno 行为。然后，利用时间相关的 Lyapunov 函数方法和驻留时间技术，使得估计误差以指数方式收敛到零。此外，开发了基于观察器的模糊控制器以确保协作输出调节的可解性。除了，分布式采样数据事件触发方案的优点是触发和切换引起的数据传输是独立的，避免了触发必须发生在切换点的情况。最后给出实例说明结果的有效性。