Dr Andrea Lecchini-Visintini

alv1

Lecturer in Control Engineering

Aerospace & Computational Engineering Research Group

T: ext - 3546

E: x@y.ac.uk, x=alv1, y=leicester

Location: Room 801, Engineering Tower

Brief biography

Dr Lecchini-Visintini obtained the Laurea (5-year degree) in Information Engineering (1997) and a PhD in Automatic Control (2001) respectively from the University of Pavia and the University of Brescia in Italy. He was a post-doc researcher at the Université Catholique de Louvain, Belgium (2001 - 2003), and a Research Associate in the Control Group at the University of Cambridge (2003- 2006) . He also held visiting appointments at the Australian National University, Canberra, in November 2002 and in August 2005.

Dr Lecchini-Visintini is currently a member of the editorial boards of the Int. Journal of Control and of the European Control Conference. In the past he has also been an editor of the Int. J. of Adaptive Control and Signal Processing.

Teaching

Course modules lectured:

Classical Control (2nd year course);
Digital Control (3rd year course)
State Variables Control (3rd year, with Prof. Matt Turner)

Research

Funded research projects:

A. Lecchini-Visintini
Industrial Fellowship hosted at Rolls-Royce Control Systems, Royal Academy of Engineering, (2019-2020).
A. Lecchini-Visintini, M.C. Turner
Collaborative research project funded by Rolls-Royce (2018-2019).
A. Lecchini-Visintini, E. Chung, C. Banahan
Estimation of intracranial pressure and rapid diagnosis of acute brain injuries using non-invasive ultrasound measurements
Cross-college PhD studentship in Bioinformatics
College of Science and Engineering and College of Medicine, Biological Sciences and Psychology, University of Leicester
A. Lecchini-Visintini
Modelling and Control of a Jet Engine Hydro Mechanical Unit
PhD studentship funded by Rolls-Royce (2014 - 2016).

A. Lecchini-Visintini
Optimization with Monte Carlo methods for the control of complex systems
EPSRC First Grant (1/03/2010 - 30/11/2011)
J. Maciejowski, A. Lecchini-Visintini (co-Investigator)
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, A. Lecchini-Visintini (co-Investigator),
Stochastic model predictive control: theory and application to air-traffic control
EPSRC (1/6/2005 - 30/05/2009)

PhD students:

Poppy TURNER, cross-college PhD studentship in Bioinformatics, 2nd year.
Tomas PULLER, Rolls-Royce studentship, graduated in 2018, now R&D Engineer at Honeywell.

Xiaoxing FU, graduated in 2017.

Publications

Journal papers

T. Puller, A. Lecchini-Visintini
A simplified model of a fueldraulic actuation system with application to load estimation
Proceedings of the IMechE, Part I: Journal of Systems and Control Engineering, 570-581-233(5), 2019.

A. Tastemirov, A. Lecchini-Visintini, R. Morales
Complete dynamic model of the Twin Rotor MIMO System (TRMS) with experimental validation
Control Engineering Practice, 66:89-98, 2017.
F. Wei, A. Lecchini-Visintini
On the stability of receding horizon control for continuous-time stochastic systems
Systems & Control Letters, 63(1):43–49, 2014.
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.
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

E. Prempain, A. Lecchini-Visintini
Dynamic Analysis of a Twin Rotor MIMO System and Control Design
UKACC, 2018
T. Puller, A. Lecchini-Visintini, M.C. Turner
On the Design of an Observer for the Detection of Null-Current Shifts in an Electro-Hydraulic Actuation System
European Control Conference, 2018.
Z. Pineda Rico, A. Lecchini-Visintini, R. Quian Quiroga.
Iterative Feedback Tuning for the joint controllers of a 7-DOF Whole Arm Manipulator
51st IEEE Conference on Decision and Control, Maui, Hawaii, 2012.
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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