Control Group

Cambridge University Department of Engineering

Dr Ye Yuan

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

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: On the unification of System Identification, Control Theory, Optimisation and Machine Learning with applications to the understanding and (re-)design of natural and engineered systems.

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 Biology: understand ageing and disease;

1.2.2 Power Systems: early fault detection and isolation and inverse problems in power system;

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

3. Use control and stability 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*, R. Murray, J. Gonçalves, and G. Stan, Identifying biochemical reaction networks using heterogeneous datasets.
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)

Journal Publications

[J11]T. Charalambous, Y. Yuan, T. Yang, W. Pan, C. Hadjicostis, M. Johansson, Distributed finite-time average consensus in digraphs in the presence of time-delays, to appear, IEEE Transactions on Control of Network Systems.

[J10]X. Yang, Y. Yuan, Z. Long, J. Gonçalves and P. Palmer, Robust stability analysis of active voltage control for high-power IGBT switching by Kharitonov’s theorem, accepted, IEEE Transactions on Power Electronics.

[J9]W. Pan, Y. Yuan, J. Gonçalves and G. Stan, Bayesian approaches to nonlinear network recon- struction, to appear, IEEE Transactions on Automatic Control.

[J8]X. Yang, Y. Yuan, X. Zhang and P. Palmer, Shaping high-power IGBT switching transitions by active voltage control for reduced EMI generation, in press, IEEE Transactions on Industry Applications.

[J7]W. Kuan, A. Kasis, Y. Yuan, S. Mason, A. Lazar, R. Barker and J. Gonçalves, Modelling the natural history of H untington’s disease progression, in press, Journal of Neurology, Neurosurgery, and Psychiatry (Impact Factor: 5.6).

[J6]N. O’Clery, Y. Yuan, G. Stan and M. Barahona, Observability and coarse-graining of consensus dynamics through the External Equitable P artition, Physical Review E, Volume 88, 042805, 2013.

[J5]Y. Yuan, G. Stan, L. Shi, M. Barahona and J. Gonçalves, Decentralised minimum-time consensus, Automatica, Volume 49, Issue 5, Page 1227-1235, 2013.

[J4]L. Shi, Y. Yuan and J. Chen, Finite horizon LQR control with limited controller-system commu- nication, IEEE Transactions on Automatic Control, Volume 58, Issue 7, Page 1835-1841, 2013.

[J3]J. Wu, Y. Yuan, H. Zhang and L. Shi, H ow can online schedules improve communication and estimation tradeoff?, IEEE Transactions on Signal Processing, Volume 61, Number 7, Page 1625-1631, 2013.

[J2]E. Herrero, E. Kolmos, N. Bujdoso, Y. Yuan, M. Wang, M. Berns, G. Coupland, R. Saini, M. Jaskolski, A. Webb, J. Gonçalves and S. Davis, Early F lowering4 recruitment of Early F lowering3 in the nucleus sustains the Arabidopsis circadian clock, the Plant Cell, Volume 24, No. 2, Page 428-443, 2012. (Impact Factor: 10.6)

[J1]Y. Yuan, G. Stan, S. Warnick and J. Gonçalves , Robust dynamical network structure recon- struction, Special Issue on System Biology, Automatica, Volume 47, Issue 6, Page 1230-1235, 2011.

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

Research:

Co-supervised Students:

Wei Pan (Ph.D., Bioengineering, Imperial College, 2011-) Nonlinear identification using sparse Bayesian learning.

Peyman Gifani (Ph.D., Control Engineering, Cambridge, 2011-) Engineering design principle.

Zuogong Yue(Ph.D., LCSB, 2014-)

Previous co-supervised Students:

David Hayden (Ph.D., Control Engineering, Cambridge, 2011-2015) Network reconstruction using intrinsic noises.

Alberto Carignano (Ph.D., Control Engineering, Cambridge, 2011-2014) Modelling of Circadian Clocks. Will join University of Washington as a postdoc researcher.

Dr. Xin Yang (Ph.D., Electrical Engineering, Cambridge, 2011-2014) Robust stability analysis and design for IGBT.Will join NUDT as a lecturer.

Dr. Neave O'Clery (Ph.D., Mathematics, Imperial College, 2011-2013) Graph Theory, Complex Networks. Now a Fulbright researcher at Harvard University.

Jerry Thia (M.S., Control Engineering, Cambridge) Distributed Kalman Filter. Now working in the industry in Singapore.

Andreas Kasis (M.S., Control Engineering, Cambridge) Modelling Huntington's Disease Development in Patients. Now a PhD student in Dr. Lestas' group at Cambridge University.


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