论文标题
对高度重入制造系统的连续模型的事件触发控制
Event-Triggered Control of a Continuum Model of Highly Re-Entrant Manufacturing System
论文作者
论文摘要
随着智能生产线的不断增长，可以通过物联网（IoT）在无线通信环境中整合传感器，执行器和控制器，我们为高度重新进入制造系统的连续模型设计了一个事件触发的边界控制器，该模型的涌入产品的涌入速率是受控数量的。设计的控制器可以潜在地在网络控制系统中运行，但要受到有限的信息共享资源的影响。 Lyapunov参数用于推导边界控制器以及可行的事件发生器，以避免闭环系统的Zeno行为发生。由于系统的非线性和密度的阳性，使用状态的对数规范建立了全球稳定性估计。此外，提出的控制器相对于采样时间表和采样数据稳定结果的鲁棒性。提供了支持所提出的理论陈述的一致仿真结果。
With the unceasing growth of intelligent production lines that integrate sensors, actuators, and controllers in a wireless communication environment via internet of things (IoT), we design an event-triggered boundary controller for a continuum model of highly re-entrant manufacturing systems for which the influx rate of products is the controlled quantity. The designed controller can potentially operate in networked control systems subject to limited information sharing resources. A Lyapunov argument is utilized to derive the boundary controller together with a feasible event generator that avoids the occurrence of Zeno behavior for the closed-loop system. The global stability estimate is established using the logarithmic norm of the state due to the system's nonlinearity and positivity of the density. Furthermore, robustness of the proposed controller with respect to the sampling schedule and sampled-data stabilization results are established. Consistent simulation results that support the proposed theoretical statements are provided.
