Dr Ye Pu

  • Room: Level: 03 Room: 3.06
  • Building: Electrical and Electronic Engineering
  • Campus: Parkville

Research interests

  • Multi agent dynamical systems
  • Optimisation algorithms
  • Optimisation-based control (model predictive control and reachability analysis)
  • Secure control and estimation

Personal webpage

https://sites.google.com/site/yepuhomepage/

Biography

Ye received the B.S. degree from Shanghai Jiao Tong University, China, in 2008, the M.S. degree from the Technical University Berlin, Germany, in 2011, and the Ph.D. degree form the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 2016. Prior to joining the University of Melbourne, she was a postdoctoral researcher in the Hybrid Systems Lab in EECS at the University of California at Berkeley, USA, from 2016 to 2018.

Recent publications

  1. Ferranti L, Pu Y, Jones CN, Keviczky T. SVR-AMA: An asynchronous alternating minimization algorithm with variance reduction for model predictive control applications. IEEE Transactions on Automatic Control. IEEE - Institute of Electrical and Electronic Engineers. 2019, Vol. 64, Issue 5. DOI: 10.1109/TAC.2018.2849566
  2. Pu Y, Zhu J, Johansson KH, Ramchandran K, Tomlin CJ. Coded Control over Lossy Networks. 2018 Annual American Control Conference (ACC). American Automatic Control Council. 2018, Vol. 2018-June. DOI: 10.23919/ACC.2018.8431277
  3. Zhu J, Pu Y, Gupta V, Tomlin C, Ramchandran K. A sequential approximation framework for coded distributed optimization. 55th Annual Allerton Conference on Communication, Control, and Computing (ALLERTON). IEEE. 2017, Vol. 2018-January. DOI: 10.1109/ALLERTON.2017.8262879
  4. Pu Y, Zeilinger MN, Jones CN. Complexity certification of the fast alternating minimization algorithm for linear MPC. IEEE Transactions on Automatic Control. IEEE - Institute of Electrical and Electronic Engineers. 2017, Vol. 62, Issue 2. DOI: 10.1109/TAC.2016.2561407