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Event-Triggered Model Predictive​ Control for Nonlinear Dynamic Systems

发布时间:2021-03-10 16:58:11 发布人:向川  审核人:李天镇

报告题目:Event-Triggered Model Predictive Control for Nonlinear Dynamic Systems

报告时间:2021年03月12日 上午 10:00-12:00

会议平台:腾讯会议会议号:292 370 658  会议密码:9658

报告摘要:

This talk will report recent results on event-triggered model predictive control (MPC) of continuous-time nonlinear dynamic systems. In this work, an integral-type event-triggered mechanism is proposed by incorporating the integral of the error between the actual and predicted state, leading to reduced average sampling frequency. Besides, a new and less conservative robustness constraint is introduced to handle the additive disturbance, rendering the MPC problem with a relatively larger initial feasible region. Furthermore, the feasibility of the integral-type event-triggered MPC scheme and the stability of the closed-loop system are rigorously investigated. Sufficient conditions for guaranteeing both of these properties are established, showing that the recursive feasibility and stability depend on the prediction horizon, the disturbance bound, the triggering level, and the contraction rate for the robustness constraint. Simulation and comparison studies demonstrate the effectiveness of the proposed scheme.

报告人简介:

Yang SHIreceived the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2005. From 2005 to 2009, he was an Assistant Professor and Associate Professor in the Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. In 2009, he joined the University of Victoria, and now he is a Professor in the Department of Mechanical Engineering, University of Victoria, Victoria, British Columbia, Canada. His current research interests include networked and distributed systems, model predictive control (MPC), cyber-physical systems (CPS), robotics and mechatronics, navigation and control of autonomous systems (AUV and UAV), and energy system applications. Dr. Shi received the University of Saskatchewan Student Union Teaching Excellence Award in 2007. At the University of Victoria, he received the Faculty of Engineering Teaching Excellence in 2012, and the Craigdarroch Silver Medal for Excellence in Research in 2015. He received the JSPS Invitation Fellowship (short-term), and was a Visiting Professor at the University of Tokyo during Nov-Dec 2013. His co-authored paper was awarded the 2017 IEEE Transactions on Fuzzy Systems Outstanding Paper Award. He received the Humboldt Research Fellowship for Experienced Researchers in 2018. He is a member of the IEEE IES Administrative Committee, and the Chair of IEEE IES Technical Committee on Industrial Cyber-Physical Systems. Currently, he is Co-Editor-in-Chief for IEEE Transactions on Industrial Electronics; he also serves as Associate Editor for Automatica, IEEE Trans. Control Systems Technology, IEEE/ASME Trans. Mechatrnonics, IEEE Trans. Cybernetics. He is a Fellow of EIC (Engineering Institute of Canada), IEEE, ASME and CSME, and a registered Professional Engineer in British Columbia, Canada.

施阳,教授,加拿大工程研究院院士, IEEE Fellow, ASME Fellow和CSME Fellow。分别于1994年和1998年在西工大航海学院获得学士和博士学位;于2005年加拿大阿尔伯塔大学获得电子与计算机工程博士学位。2005-2009在加拿大萨斯喀彻温大学任助理教授及副教授;目前为加拿大维多利亚大学机械工程系终身教授。施阳教授的研究集中于工业信息物理系统、网络及分布式控制系统、模型预测控制、机电系统及机器人系统设计与控制、能源系统的优化调度与控制等。

他于2007获得加拿大萨斯喀彻温大学十佳教学奖;2012年获得维多利亚大学工学院最佳教学奖。2015年获得维多利亚大学年度唯一的最佳研究银奖(Craigdarroch Silver Medal);2013年获得日本学术振兴会特邀访问教授奖;2017年获得德国洪堡研究基金。他与学生合著的论文获得2017年IEEE Transactions on Fuzzy Systems年度最佳论文奖。目前任IEEE工业电子学会工业信息物理系统技术委员会主席,担任IEEE Transactions on Industrial Electronics的共同主编(Co-Editor-in-Chief),任多家国际期刊的副编辑,包括:Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Cybernetics, IEEE/ASME Transactions on Mechatronics。