科学研究
2019年10月11日上午,加拿大维多利亚大学Yang Shi教授与美国加州大学河滨分校任伟教授应邀在将军路校区澳门威威尼斯棋牌大乐1号楼403会议室分别做了题为“Event-Triggered Model Predictive Control for nonlinear Dynamic Systems”与“Distributed Average Tracking and Continuous-time Optimization in Multi-agent Networks”的学术报告。报告由澳门威威尼斯棋牌大乐副院长陈谋教授主持,澳门威威尼斯棋牌大乐部分师生参加了学术报告会。
Shi教授首先对网络化控制系统的当前研究方向做了简要介绍,重点指出了网络化控制系统的研究难点。接着,Shi教授引入了模型预测控制的基本思想,并通过对系统性能与期望参数之间关系的分析,来描述了将模型预测控制的思想运用至网络化控制系统的方法。然后,Shi教授介绍了基于事件触发的模型预测控制,提出了他在该研究方向的一些思路和方法,他以水下无人机编队协同为例,展示了他们团队在分布式模型预测控制方面的最新研究成果。最后,Shi教授对模型预测控制在分布式算法上的优化等研究方向提出了展望。
随后,任教授向在场师生分享了他在多智能体网络方面的最新研究成果。他首先以多智能体编队为背景,介绍了分布式平均跟踪问题的研究意义。接着,他提出了利用非光滑分析工具进行分布式平均跟踪控制器设计的思想,并将其应用至一阶系统。然后,任教授详细讲解了基于分布式平均跟踪思想解决多智能体系统连续时间的分布式凸优化问题,并利用非光滑分析理论工具证明系统的稳定性。最后,通过仿真验证展示了该方法的有效性。
报告结束后,Shi教授和任教授与参会师生针对报告内容进行了热烈的讨论,并对师生们提出的问题给予了详细的解答。
Yang Shi教授简介:
Yang Shi received 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 Experience 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 Automatic, IEEE Trans. Control System 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 Engineering in British Columbia, Canada.
任伟教授简介:
任伟,美国加州大学河滨分校(University of California, Riverside)教授,IEEE Fellow。2004年在美国杨百翰大学(Brigham Young University)获得博士学位。他的主要研究方向是多智能体系统的分布式协调控制,在Springer出版了两本专著。任伟教授于2017年获得IEEE 控制系统协会Antonio Ruberti Young Researcher Prize,于2008年获得美国国家科学基金会杰出青年教授/杰出学术发展奖。