Dr Andrea Lecchini-Visintini

Lecturer in Control Engineering

Aerospace & Computational Engineering Research Group

T: ext - 3546

E: alv1 'at' leicester.ac.uk

Google Scholar

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 an editor for the Int. J. of Adaptive Control and Signal Processing, and a member of the Editorial Board of the European Control Conference.

Teaching and admin

• Course modules currently lectured:

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

• Director of the MSc courses in Engineering

Research

Funded research projects:

• 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
  To appear.
• 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