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概率统计系列学术报告:Mixed Time- ad Event-Triggered Distributed Observer for LTI Systems: Non-Pathological Sampling and Inter-event Dynamics

发布人:日期:2026年03月09日 10:35浏览数:

报告题目:Mixed Time- ad Event-Triggered Distributed Observer for LTI Systems: Non-Pathological Sampling and Inter-event Dynamics

报 告 人:Zhan ShuUniversity of Alberta

报告时间:2026316日  10:00

报告地点:腾讯会议(939 868 259

报告摘要:

This talk introduces a distributed observer for linear time-invariant systems, incorporating time-triggered periodic observations and event-triggered communication to estimate the state of the leader. We demonstrate the critical role of the sampling period in achieving desirable observers and establish a necessary and sufficient condition for all feasible sampling periods that ensure convergent error dynamics. We also characterize intricate relationships among sampling periods, system topologies, and matrices.

We design an event-triggering mechanism based on locally sampled data to regulate communication among agents. Convergence of estimation errors is proven under this mechanism for a class of positive and convergent triggering functions, which includes the commonly used exponential function as a special case. The proposed mixed time- and event-triggered architecture naturally avoids Zeno behavior by updating the system at discrete instants.

Furthermore, we analytically characterize the relationship among sampling, event triggering, and inter-event behavior when the triggering function is bounded by exponential functions. Finally, we provide several examples to illustrate the effectiveness and merits of the theoretical results.

报告人简介:

Zhan Shu received his B.Eng. degree in Automation from Huazhong University of Science and Technology in 2003, and his PhD degree in Control Engineering from The University of Hong Kong in 2008. He received the award for Outstanding Research Postgraduate Student of the University of Hong Kong for his doctoral research. He was a Post-Doctoral Fellow at the Hamilton Institute, National University of Ireland, Maynooth, from 2009 to 2011, and a Lecturer in the Faculty of Engineering and Physical Sciences, the University of Southampton, from 2011 to 2019. Since 2020, he has been a faculty member at the Department of Electrical and Computer Engineering, University of Alberta, where he is currently a professor. He is a Senior Member of IEEE, a Member of IET, and an invited reviewer of the Mathematical Review of the American Mathematical Society. He is an Associate Editor for several journals and conferences, e.g., IEEE Transactions on Automatic Control and the IEEE Control Systems Society Conference Editorial Board.

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