控制理论(社会学)
执行机构
控制器(灌溉)
化学反应器
理论(学习稳定性)
计算机科学
事件(粒子物理)
比例(比率)
控制系统
控制(管理)
控制工程
工程类
人工智能
化学工程
物理
量子力学
机器学习
农学
生物
电气工程
作者
Xiaona Song,Qiyuan Zhang,Shuai Song,Choon Ki Ahn
标识
DOI:10.1016/j.jprocont.2022.02.007
摘要
This study proposes an improved event-triggered controller based on spatiotemporally sampled data for the temperature and concentration profiles of a chemical tubular reactor subject to singular perturbations. The resulting system contains not only the spatial location characteristics but also multiple-time-scale features, which results in problems in the system design. To reduce the network communication burden, a spatiotemporal data approach is employed, based on which an improved spatiotemporal-event-triggered mechanism is proposed. Furthermore, a point-control strategy is developed to reduce the system-control costs for limited actuators. Finally, some conditions that guarantee stability of the chemical tubular reactor system are given, and the simulation results are presented to demonstrate the validity and applicability of the proposed design.
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