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Event-triggered H_∞ filtering for nonlinear networked control systems via T-S fuzzy model approach

机译:通过T-S模糊模型方法触发非线性网络控制系统的H_∞过滤

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This paper tackles the event-triggering filtering problem for a class of nonlinear networked control systems subject to the prescribed disturbance attenuation level. To alleviate the data transmission burden of communication channels, an event-triggering mechanism is adopted, where the data can be transmitted only if certain condition is fulfilled. The T-S fuzzy model approach is utilized to approximate the nonlinear dynamics. It is the purpose of this paper to design a filter for the addressed nonlinear system ensuring that the filtering error system is asymptotically stable whereas the prespecified H-infinity criterion is guaranteed. By using Lyapunov approach in combination with matrix analysis method, the sufficient conditions are established for the existence of desired filtering parameters in terms of the solvability of certain linear matrix inequalities. Finally, a numerical simulation example is put forward to demonstrate the validity and effectiveness of the developed theoretical results. (C) 2021 Published by Elsevier B.V.
机译:本文解决了一类受规定的干扰衰减水平的非线性网络控制系统的事件触发滤波问题。为了减轻通信信道的数据传输负担,采用事件触发机制,只有在满足某些条件时才能发送数据。 T-S模糊模型方法用于近似非线性动力学。本文的目的是设计用于寻址非线性系统的过滤器,确保过滤误差系统渐近稳定,而预先确定的H-Infinity标准是保证的。通过使用Lyapunov方法与矩阵分析方法结合使用,在某些线性矩阵不等式的可解性方面建立了用于存在所需滤波参数的充分条件。最后,提出了数值模拟示例以证明所发育理论结果的有效性和有效性。 (c)2021由elsevier b.v发布。

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