21 Jan, 2020 (Tue)Time:
10:30 am - 11:45 amLocation:
SpeakerMr. Mengmou Li,
Dept. of Electrical & Electronic Engineering
The University of Hong Kong
In this talk, we investigate a distributed optimization problem via input feedforward passivity (IFP) by proposing an IFP-based continuous-time distributed algorithm. We show that some important problems in distributed optimization can be solved within this IFP framework, including uniformly jointly strongly connected graphs (UJSC), fully distributed design, discrete-time communication, and discretization.
Biography of the speaker:
Mengmou Li received his B.S. degree in physics from Zhejiang University, Zhejiang, China, in 2016. He is currently a Ph.D. candidate in Electrical and Electronic Engineering at The University of Hong Kong. From October 2018 to December 2018, he was a visiting student in Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), China. From September 2019 to December 2019, he was a visiting researcher at the School of Engineering, Osaka University, Japan. His research interests include distributed optimization, consensus and synchronization.
OrganizerProf. G. Chesi
Most seminars are open to the general public, free of charge, unless otherwise stated. Registration is not required. Arrangement for car parking facilities on campus please contact us for details.
For enquiries, please contact:
Department of Electrical and Electronic Engineering,
Room 601, Chow Yei Ching Building,
Pokfulam Road, Hong Kong
Tel: (852) 3917 7093