Control Group

Cambridge University Department of Engineering

Dr Ye Yuan

Background - Research - Publications

Position: Junior Research Fellow, Darwin College

Post-doctoral Research Associate, Department of Engineering

Personal Webpage: http://www-control.eng.cam.ac.uk/~yy311

Background

Ye Yuan received his B.Eng. degree (Valedictorian) from the Department of Automation, Shanghai Jiao Tong University in 7.2008, M. Phil. and Ph.D. under the supervision of Dr. Jorge Goncalves from the Department of Engineering, Cambridge University in 10.2009 and 2.2012 respectively. Ye is now a Junior Research Fellow in Darwin College, University of Cambridge and a post-doctoral research associate in Department of Engineering University of Cambridge. Ye was a visiting researcher in Imperial College London (2011-2015), Caltech (2011, 2014, 2015), MIT (2013), Lund, UNM, LCSB and HKUST (2009).

He is the recipient of Dorothy Hodgkin Postgraduate Awards, Microsoft Research PhD Scholarship, Cambridge Overseas Scholarship, Chinese Government Award for Outstanding Students Abroad and Henry Lester Scholarship, Best Paper Finalist in IEEE ICIA.

News:

I am in the job market this year (2015), application materials are available by contacting ye.yuan@eng.cam.ac.uk.

Current Research Interests

Unification of System Identification, Control Theory and Machine Learning:

1. Inverse problems (PDE, ODE, Hybrid Systems): identifiability (experimental design) and new identification/ fault-detection alogirhtm by unifying methods in SI and ML.

1.1 Application of 1 to build an automated physist;

1.2 Application of 1 to biology and power systems:

1.2.1 understand ageing;

1.2.2 early detectection of tipping point;

1.2.3 inverse problem in power flow;

1.2.4 early fault detection and isolation in power system;

2. Propose a Bayesian adaptive control scheme with theoritical guarantee.

3. Use Control theory to show convergence/stability of some ML algorithms.

Publications

Working Papers:
Y. Yuan, Y. Mo and R. Murray, Security in feedback control systems: Controller design against known-plaintext attack.
W. Pan, Y. Yuan, W. Dai, T. Ellis, J. Gonçalves, M. Barahona and G. Stan, Learning large-scale complex nonlinear dynamical systems.
Recent accepted papers (2.2015):
Y. Yuan, K. Glover and J. Gonçalves, On minimal realisations of dynamical structure functions, to appear, Automatica. http://arxiv.org/abs/1409.0072.
W. Pan, Y. Yuan*, H. Sandberg, J. Gonçalves and G. Stan, Online fault diagnosis for nonlinear power systems, to appear, Automatica. (* corresponding author)

More information on previously published paper citation may be found on my Personal Webpage and Google scholar page


Previous research interest: Systems and Synthetic Biology:

1. Network Reconstruction: how to obtain network structure from data;

2. Modelling in systems and synthetic biology;

3. Application of 1 to Plant Science and had successfully predict a new gene and its location in circadian clock.

Previous research interest: Decentralised Algorithms:

1) Decentrliased minimal-time consensus algorithm

2) Application of the minimal-time consensus algorithm to

2.1) a fast Pagerank computation scheme

2.2) a fast community detection algorithm

2.3) Car-platoon problem

2.4) Distributed Kalman filter