Dr Andrea Lecchini Visintini
Lecturer in Control Engineering
Control Group
T: +44 (0)116 252 3546
F: +44 (0)116 252 2619
E: alv1 'at' leicester.ac.uk
Location: Room 801, Engineering Tower
Brief Biography
Dr Lecchini Visintini has been a lecturer in Leicester since 2006. Prior to this, he was a research associate in the Control Group in Cambridge (2003- 2006) and a post doc researcher in CESAME, Université Catholique de Louvain, Belgium (2001 - 2003). He was also a visiting fellow in RSISE, ANU, Canberra, in November 2002 and in August 2005. Dr Lecchini Visintini obtained a PhD in Automatic Control (2001) and the Laurea (5-year degree) in Information Engineering (1997) respectively from the University of Brescia and the University of Pavia in Italy. His research interests are in Monte Carlo methods, and their application to the control of complex systems, and in system identification for control. Dr Lecchini Visintini is currently a subject editor (System Identification, Stochastic Optimization, Monte Carlo Methods) for the Int. J. of Adaptive Control and Signal Processing.
Teaching and admin
Coordinator of the MSc courses offered by the Department of Engineering in the area of Control and Dynamics.
Course modules lectured
- Control Labs (supervised), 2nd year labs, in 2010/11.
- Digital Control and Instrumentation, 3rd year course, in 2008/09, 2010/11.
- Electromagnetism, 1st year course, in 2007/08, 2008/09, 2009/10.
- Signals and Systems Part 3: Information Theory, 3rd year course in Cambridge, in 2005/06.
Funded research projects:
- A. Lecchini Visintini (PI)
Optimization with Monte Carlo methods for the control of complex systems
EPSRC First Grant (1/03/2010 - 30/11/2011)
- J. Maciejowski (PI), A. Lecchini Visintini (co-PI)
iFly: Safety, Complexity and Responsibility based design and validation of highly automated Air Traffic Management
EU 6th Framework Programme Aeronautics and Space: innovative Air Traffic Management research
(22/05/2007 - 21/08/2011)
- J. Maciejowski (PI), A. Lecchini Visintini (Co-Investigator),
Stochastic model predictive control: theory and application to air-traffic control
EPSRC (1/6/2005 - 30/05/2009)
Current Postdocs
- Dr Fajin Wei (since December 2010)
Publications
Journal papers
- A. Lecchini-Visintini, J. Lygeros and J.
Maciejowski
Stochastic optimization on continuous domains with finite-time guarantees by Markov chain Monte Carlo methods
IEEE Transactions on Automatic Control, 55(12):2858-2863, 2010.
Extended version: arXiv:0906.1055v2 - N. Kantas, A. Lecchini-Visintini, J. Maciejowski
Simulation Based Optimal Design of Aircraft Trajectories for Air Traffic Management
Int. Journal on Adaptive Control and Signal Processing, 24(10):882-899, 2010.
Special Issue: Air Traffic Management: Challenges and opportunities for advanced Control.
Editors: A. Lecchini-Visintini and J. Lygeros. See the Introduction to the special issue
- A. Dehghani, A. Lecchini-Visintini, A. Lanzon, B.D.O.
Anderson
Validating controllers for internal stability utilizing closed-loop data
IEEE Transactions on Automatic Control, 54(11):2719-2725, 2009.
- E. Crisostomi, A. Lecchini-Visintini and J. Maciejowski
Combining Monte Carlo and worst-case methods for trajectory prediction in air traffic control: A case study
Automatic Control in Aerospace, 2(1), 2009.
- A. Lecchini, W. Glover, J. Lygeros and J.
Maciejowski
Monte Carlo Optimisation for Conflict Resolution in Air Traffic Control
IEEE Transactions on Intelligent Transportation Systems, 7(4):470-482, 2006.
- A. Lecchini, A. Lanzon and B.D.O. Anderson
A model reference approach to safe controller changes in iterative identification and control
Automatica, 42(2):193-203, 2006.
- R. Hildebrand, A. Lecchini, G. Solari and M. Gevers
Optimal prefiltering in Iterative Feedback Tuning
IEEE Transactions on Automatic Control, 50(8):1196- 1200, 2005.
- R. Hildebrand, A. Lecchini, G. Solari and M. Gevers
Asymptotic accuracy of Iterative Feedback Tuning
IEEE Transactions on Automatic Control, 50(8):1182- 1185, 2005.
- R. Hildebrand, A. Lecchini, G. Solari and M. Gevers
Prefiltering in Iterative Feedback Tuning: optimization of the prefilter for accuracy
IEEE Transactions on Automatic Control, 49(10):1801-1805, 2004.
- A. Lecchini and M. Gevers
Explicit expression of the parameter bias in identification of Laguerre models from step-responses
Systems & Control Letters, 52(2):149-165, 2004.
- M.C. Campi, A. Lecchini and S.M. Savaresi
An application of the Virtual Reference Feedback Tuning method to a benchmark problem
European Journal of Control, 9(1):66-76, 2003.
Special Issue: Design and optimization of restricted complexity controllers
- A. Lecchini, M.C. Campi and S.M. Savaresi
Virtual Reference Feedback Tuning for two degrees of freedom controllers
Int. Journal on Adaptive Control and Signal Processing, 16(5):355-371, 2002.
Special Issue: New ideas in recursive estimation and stochastic adaptive control
- M.C. Campi, A. Lecchini and S.M. Savaresi
Virtual Reference Feedback Tuning: a direct method for the design of feedback controllers
Automatica, 38(8):1337-1346, 2002.
Selected conference papers
- A. Lecchini-Visintini, J. Lygeros and J. Maciejowski
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domain
In: Advances in Neural Information Processing Systems 20,
(Proceedings of NIPS 2007), MIT Press.
- A. Lecchini, M. Gevers, J. Maciejowski
An Iterative Feedback Tuning procedure for Loop Transfer Recovery
14th IFAC Symposium on System Identification, Newcastle, Australia, 2006.
- A. Lecchini and M. Gevers
On Iterative Feedback Tuning for non-minimum phase plants
41st IEEE Conference on Decision and Control, Las Vegas, USA 2002.
- G. De Nicolao, G. Ferrari Trecate and A. Lecchini
MaxEnt priors for stochastic filtering problems
13th Int. Symposium on the Mathematical Theory of Network and Systems, Padova, 1998.
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