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Event-based reduced-order fuzzy filtering for networked control systems with time-varying delays

机译:具有时变延迟的网络控制系统的基于事件的减少阶模糊滤波

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This paper investigates the event-based reduced-order fuzzy filtering problem for nonlinear networked control systems with network-induced time-varying delays. A novel fuzzy filter design approach is proposed to analyze the fuzzy systems under a reduced-order scheme. The problem of mismatched membership functions is presented in the fuzzy filtering to simplify implementation complexity and increase design flexibility of the designed reduced-order filter. In addition, the integrands of the Lyapunov-Krasovskii functional are dependent of membership functions and the existence conditions of the fuzzy filtering are given by utilizing a linearization approach. Compared with the existing reduced-order filter design approaches, the time-derivatives of membership functions are considered in the analysis process for reducing the conservativeness of obtaining the maximum delay bounds. Finally, a simulation result is given to show the effectiveness and advantages of the analysis scheme. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文研究了具有网络诱导的时变延迟的非线性网络控制系统的基于事件的减少阶模糊滤波问题。提出了一种新型模糊过滤器设计方法,以分析降低顺序方案的模糊系统。模糊滤波中介绍了不匹配的隶属函数的问题,以简化实现复杂性并提高设计的缩小滤波器的设计灵活性。此外,Lyapunov-Krasovskii功能的整体函数取决于隶属函数,并且通过利用线性化方法给出模糊滤波的存在条件。与现有的减序滤波器设计方法相比,在分析过程中考虑了隶属函数的时间衍生物,以降低获得最大延迟界限的保守性。最后,给出了仿真结果来显示分析方案的有效性和优点。 (c)2019 Elsevier Inc.保留所有权利。

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