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首页> 外文期刊>International Journal of Fuzzy Systems >An Event-Triggered H_∞ Filter for Interval Type-2 T-S Fuzzy Nonlinear Networked Systems with Parameter Uncertainties and Delays
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An Event-Triggered H_∞ Filter for Interval Type-2 T-S Fuzzy Nonlinear Networked Systems with Parameter Uncertainties and Delays

机译:一个事件触发的H_∞过滤器,用于间隔类型-2 T-S模糊非线性网络系统,具有参数不确定性和延迟

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摘要

This paper designs an event-triggered H-infinity filter for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy nonlinear networked systems with parameter uncertainties and delays. First, an IT2 T-S fuzzy model is used to describe the nonlinear plant and the filter subject to parameter uncertainties, which can be captured with the lower and upper membership functions. Then, an event-triggered scheme and a quantizer are proposed to reduce the unnecessary waste of the network resources. Second, the asynchronous premise variables problem is considered in the design of the fuzzy filter, which means that the premise variable of the designed filter needs not to be identical with the plant. Third, by constructing a Lyapunov-Krasovskii function with quadruple integral items, and employing the Wirtinger inequality and some slack matrices, a stability condition with less conservative is obtained. Finally, a numerical example demonstrates the effectiveness of the proposed method.
机译:本文设计了一个事件触发的H-Infinity过滤器,用于间隔类型-2(IT2)Takagi-Sugeno(T-S)模糊非线性网络系统,具有参数不确定性和延迟。 首先,IT2 T-S模糊模型用于描述非线性工厂和过滤器,该滤波器对参数不确定性进行,可以用较低和上隶属函数捕获。 然后,提出了一种事件触发方案和量化器以减少网络资源的不必要浪费。 其次,在模糊过滤器的设计中考虑了异步前提变量问题,这意味着设计过滤器的前提变量不需要与工厂相同。 第三,通过用四倍积分物品构建Lyapunov-Krasovskii功能,并采用丝网不等式和一些松弛矩阵,获得保守较少的稳定性条件。 最后,数值示例展示了所提出的方法的有效性。

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