This paper studies the decentralized event-triggered (ET) controller design problem of nonlinear large-scale systems modeled by affine fuzzy systems. Based on the information of membership functions, the considered fuzzy system is represented by a multiple-operating-regime-based model. To reduce the frequency of controller updates and save the limited network bandwidth, a novel ET transmission scheme is proposed. A decentralized piecewise ET controller is constructed using sampled states. Combining with some convex optimization techniques, convex decentralized ET controller design conditions are derived, in which the unmatched regions induced by the ET scheme are considered. In contrast to the existing results, the proposed control synthesis approach leads to less computational burden, and the assumption on bounds of membership functions has been removed. A numerical example is finally given to show the validity of the derived results.

中文翻译：

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仿射模糊大型系统的分散事件触发 $H_{\infty }$ 控制


本文研究了仿射模糊系统建模的非线性大型系统的分散事件触发（ET）控制器设计问题。基于隶属函数的信息，所考虑的模糊系统由基于多操作机制的模型表示。为了减少控制器更新频率并节省有限的网络带宽，提出了一种新颖的ET传输方案。使用采样状态构建分散式分段 ET 控制器。结合一些凸优化技术，推导了凸分散ET控制器的设计条件，其中考虑了ET方案引起的不匹配区域。与现有结果相比，所提出的控制综合方法减少了计算负担，并且删除了隶属函数边界的假设。最后给出了数值例子来说明推导结果的有效性。