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Event-Triggered Reliable Dissipative Filtering for Delay Non-linear System under Networked Systems with Sensor Fault
International Journal of Control ( IF 2.1 ) Pub Date : 2018-06-25 , DOI: 10.1080/00207179.2018.1484172
Muhammad Shamrooz Aslam 1 , Ziran Chen 1
Affiliation  

ABSTRACT This paper investigates the problem of fuzzy filter design for a class of delayed nonlinear system under random sensor faults with an event-triggered (ET) mechanism. (1) To estimate the dynamics of nonlinear plant, a T–S fuzzy model is manipulated. Random variables are disclosed to express the sensor fault. (2) To take some advantages over existing one, a variable ET mechanism is offered in networked systems (NSs). Under the ET mechanism, sensor data are released only when the plant's measurement (sampled) violate specific threshold of the event condition. (3) Another purpose of this article is to design filters involving system state delays. Then, by using a novel fuzzy Lyapunov–Krasovskii function approach with free weighting matrix technique, dissipative filter design of ET delay networked control systems is proposed. We consider both the sensor fault and ET scheme simultaneously. The simulation example is given to demonstrate the effectiveness of design method.

中文翻译:

传感器故障网络系统下延迟非线性系统的事件触发可靠耗散滤波

摘要本文研究了一类具有事件触发(ET)机制的随机传感器故障下的一类延迟非线性系统的模糊滤波器设计问题。(1) 为了估计非线性设备的动力学,操纵了一个 T-S 模糊模型。随机变量被公开以表达传感器故障。(2) 为了利用现有的一些优势,在网络系统 (NS) 中提供了一种可变 ET 机制。在 ET 机制下,仅当工厂的测量(采样)违反事件条件的特定阈值时才发布传感器数据。(3) 本文的另一个目的是设计涉及系统状态延迟的滤波器。然后,通过使用带有自由加权矩阵技术的新型模糊Lyapunov-Krasovskii 函数方法,提出了ET 延迟网络控制系统的耗散滤波器设计。我们同时考虑传感器故障和 ET 方案。仿真实例验证了设计方法的有效性。
更新日期:2018-06-25
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