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Event-based multirate control of large-scale distributed nonlinear systems subject to time-driven zero order holds

机译:基于事件的大规模分布式非线性系统的多型控制,但经过时间驱动的零顺序保持

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摘要

The event-based output-feedback control is studied for large-scale distributed networked nonlinear systems. All subsystems are described by interval type-2 (IT2) Takagi-Sugeno (T-S) model and communicate information to each other via distributed networks with time-varying transmission delays. The sampled rates of sensors and refresh rates of actuators are allowed to be different among subsystems. We propose an event-based control scheme in the sense that each subsystem determines its information transmission to other subsystems based on its local sampled output measurements. First, combined with the descriptor system and perturbed system approaches, an equivalent model transformation is established. Then, a relaxing Lyapunov functional is introduced by virtue of Wirtinger inequality. The corresponding co-design criteria are obtained in the form of linear matrix inequalities (LMIs), which guarantee stabilization of the closed-loop fuzzy control system with different sampling and updating rates while transmitting information via networks as little as possible. Furthermore, employing some bounding inequality techniques, a considerable reduction in the number of LMIs can be achieved. Finally, a practical application to a DC microgrid with three PV subsystems is exploited. (c) 2020 Published by Elsevier Ltd.
机译:研究了基于事件的输出反馈控制,用于大型分布式网络非线性系统。所有子系统都是由间隔类型-2(IT2)Takagi-Sugeno(T-S)模型描述的,并且通过具有时变传输延迟的分布式网络彼此通信信息。子系统中,允许使用传感器的采样率和执行器的刷新速率。我们提出了一种基于事件的控制方案,即每个子系统基于其本地采样输出测量确定其信息传输到其他子系统。首先,结合描述符系统和扰动系统方法,建立了等效的模型变换。然后,通过丝网不等式引入放松的Lyapunov功能。相应的共同设计标准以线性矩阵不等式(LMI)的形式获得,其保证闭环模糊控制系统具有不同的采样和更新速率,同时通过网络发送信息。此外,采用一些限制的不等式技术,可以实现LMI的数量相当大的降低。最后,利用了具有三个PV子系统的DC微电网的实际应用。 (c)2020年由elestvier有限公司发布

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