Control Group Members
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Dr Guy-Bart V. Stan
Previous Member
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| Background |
Dr Guy-Bart Stan currently is a permanent academic member of staff in the Department of Bioengineering at Imperial College London, the Head of the Control Engineering Synthetic Biology group in the Center for Synthetic Biology and Innovation at Imperial College London, and an external collaborator with the Control Group of the University of Cambridge.
Dr Stan was born in Liege, Belgium, in 1977. He received his electrical (electronics) engineering degree in June 2000 and his Ph.D. degree in March 2005, both from the University of Liege. Until May 2005, he worked in the Systems and Modelling research unit of the Department of Engineering and Computer Science of the University of Liege with F.N.R.S. (Belgian National Fund for Scientific Research) support. From June to December 2005, he worked as Senior DSP Engineer at Philips Applied Technologies in Leuven (Belgium). From January 2006 until December 2009, Dr Stan worked as a Research Associate at the Control Group of the University of Cambridge (U.K.) with EPSRC support (previously with FP6 Marie-Curie Intra-European Fellowship support from the European Commission).
From June to August 2004, he was an invited visiting Ph.D. researcher at the "Laboratoire d'Automatique de Grenoble", INPG-ENSIEG, Grenoble, France (invited by Dr Carlos Canudas-de-Wit). From July to September 2008, he was an invited visiting scientist at the Laboratory for Information and Decision Systems of the Massachusetts Institute of Technology, Cambridge, USA (invited by Professor Munther Dahleh).
From October 2006 until December 2009, he was the seminar organiser of the CUED Control Group weekly seminars. |
| Research Overview |
Research is about passion. Mine is to develop new theories and apply the produced results to real-life problems. Currently, my main research interests are in the following Engineering areas: Nonlinear Systems Analysis and Control, Synthetic Biology, Systems Biology, Complex Networks.
My graduation thesis dealt with the measurement of room impulse responses and head-related transfer functions with the highest accuracy. In this research, I have compared four of the most used impulse response measurement techniques : Maximum Length Sequence (MLS), Inverse Repeated Sequence (IRS), Time Stretched Pulses, and Logarithmic Sinesweep. These methods are generally used for the measurement of the impulse response of acoustical systems such as transducers, rooms, and binaural impulse responses. The choice of one of these methods depending on the measurement conditions is critical. Therefore an extensive comparison has been realised. This comparison has been done through the implementation and realisation of a complete, fast, reliable, and cheap measurement system. In particular, these different methods have been compared with respect to best achievable signal-to-noise ratio, ease of use, harmonic distortion rejection/measurement, and robustness to measurement conditions (temperature change, impulsive and white noise, etc.).
My PhD thesis was focused on dynamical nonlinear oscillators analysis and control. More precisely the global analysis and synthesis of oscillators and networks of oscillators, with application to circadian rhythms, feedback oscillator design, and rhythmic robotics. The new framework developed during this research is based upon generalisations of input-output stability results to the global analysis and synthesis of limit cycles and more specifically on the use of passivity and related concepts, and on generalisations of the Van der Pol and Fitzhugh-Nagumo global feedback oscillation mechanisms.
In the field of Synthetic Biology, I am currently interested in the analysis, design, and control of biological systems using systems and control theory concepts. I am also interested in the development and application of data-based optimal control methods for the robust and optimal control of technological and biological systems, e.g., reinforcement learning algorithms applied to the design of "optimal drug scheduling" treatments for critical diseases like cancers and HIV or to the optimal control of natural or synthetic biology gene regulatory networks. Furthermore, my group is currently involved in the study of consensus, synchronisation and collective behaviours in networks of interconnected dynamical systems.
More details about these research topics and the related publications may be found on my webpage. |
| Teaching |
4F2 -- Robust Multivariable Control, Part II: Dynamic Programming, H_{2} and H_{infinity} robust optimal control.
Efficient use of the control group linux system (control group internal website, cannot be accessed from outside the Department) -- Reference slides for the efficient use of the unix/linux machines of the control group. |
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