标题： 具有时变时滞的分数阶T-S模糊系统的量化耗散不确定模型在网络化控制系统下 显示英文标题

标题： Quantized Dissipative Uncertain Model for Fractional T_S Fuzzy systems with Time_Varying Delays Under Networked Control System

摘要： 本文研究了事件触发网络化系统（E_NS）中带有量化器的耗散型不确定时滞分数阶T-S模糊系统的量化耗散问题，其中扩展的耗散性分析在一个统一框架内结合了H∞、耗散性、L2和L∞以及被动性能。 为了提高可用信道资源的效率，提出了测量尺寸减小机制和事件触发方案（ETS）。 首先，我们提出了ETS，在其中信号通过具有逻辑功能的信道传输，然后实施对数量化方法以减少尺寸。 然后，我们将原始的带有量化器影响的时滞分数阶T-S模糊系统转化为诱导通信时滞。 此外，利用线性矩阵不等式的关联李雅普诺夫泛函方法，给出了渐近稳定性充分条件。 而且，我们还构建了状态空间滤波系统的模糊模型。 最后，给出了一辆卡车拖车模型来展示所提出策略的有效性。 显示英文摘要

摘要： This paper addressed with the quantized dissipative uncertain problem for delayed fractional T_S Fuzzy system for event_triggered networked systems (E_NS), where the extended dissipativity analysis combines the H infinity, dissipativity, L2 and L infinity and passivity performance in a unified frame. To attain the high efficiency for available channel resources, measurement size decrease mechanism and event_triggered scheme (ETS) are proposed. Firstly, we present the ETS in which signal is transmitted through the channel with logical function then logarithmic quantization methodology is implemented for size reduction. Then, we transfer the original delayed fractional T_S fuzzy systems with the effect of quantization under ETS as induced communications delays. Furthermore, by employing the associative Lyapunov functional method in terms of linear matrix inequalities, adequate conditions for asymptotical stability is given. Moreover, we also construct the design fuzzy model for state space filtering system. At last, a truck_trailer model is given to show the effectiveness of the proposed strategy.