报告时间：2024年10月21日 周一下午 15:00-16:30
报告地点：威尼斯432888cam四牌楼校区中心楼二楼教育部重点会议室
组织单位：威尼斯432888cam 威尼斯432888cam
邀请人：忻欣教授，威尼斯432888cam，威尼斯432888cam复杂工程系统测量与控制教育部重点实验室，威尼斯432888cam智能无人系统研究院
报告主题：From Sampled-Data to Event-Triggered Control
报告人简介：
Tongwen Chen is currently a Professor and Tier 1 Canada Research Chair in Intelligent Monitoring and Control at the University of Alberta, Canada. He received the BEng degree in Automation and Instrumentation from Tsinghua University, and the MASc and PhD degrees in Electrical Engineering from the University of Toronto. His research interests include computer and network-based control systems, event-triggered control, advanced alarm management and design, and their applications to the process industry. He is a Fellow of IEEE, the International Federation of Automatic Control (IFAC), the Royal Society of Canada (RSC), the Canadian Academy of Engineering (CAE), as well as the Chinese Association of Automation (CAA).
报告摘要：
Traditional industrial facilities are monitored and controlled through industrial computers called distributed control systems (DCS) and supervisory control and data acquisition (SCADA) systems, in which time-triggered operations are the norm. Sampled-data control is the paradigm for the analysis and design of such time-triggered systems. This sampled-data control paradigm uses a fundamental assumption that all signals and systems are sampled periodically in time; based on this assumption, sampled-data controllers can be designed, considering inter-sample behavior in continuous time. However, such a periodicity assumption is no longer valid in modern industrial systems for two reasons. First, integrating new communication and computing technologies generates a new class of systems called cyber-physical systems, in which network protocols and real-time computer algorithms evolve by events and are event-triggered. Second, most existing industrial facilities are still operated by human operators through alarm monitoring systems. Could industrial plants be fully automated without the intervention of operators at all? This would require incorporating alarm systems with control systems; but alarm systems are event-triggered, violating the periodicity assumption.
This talk aims at presenting some basics and insights on sampled-data and event-triggered control systems, discussing their relative advantages and disadvantages, and providing the key ideas and mathematical tools used in design, with many illustrative examples.
