• Personal Info
• Publications

Personal Info

Daniele was born in Siena (Italy) in 1982. He received his M. Eng. degree in Computer Engineering in 2007 from the University of Siena. In February 2011 he earned his Ph.D. in Information Engineering (curriculum in Automation and Control) from the same University. In 2011 he was with the Dept. of Mechanical and Structural Engineering at the University of Trento, Italy. In October 2011 he joined the Dynamical Systems, Control and Optimization (DYSCO) research unit at IMT Lucca as a Post-Doctoral Fellow, also co-founding IMT's first spinoff company, ODYS Srl.

His main research interests are in model predictive control, stochastic control, networked control systems, hybrid systems, and their application to problems in energy, automotive, and aerospace domains. See his full curriculum vitae.

Publications

Journal Publications

• S. Di Cairano, D. Bernardini, A. Bemporad, and I.V. Kolmanovsky, Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management, IEEE Transactions on Control Systems Technology, vol. 22, no. 3, pp. 1018-1031, 2014.
  
• S. Di Cairano, H.E. Tseng, D. Bernardini and A. Bemporad, Vehicle yaw stability control by coordinated active front steering and differential braking in the tire sideslip angles domain, IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1236-1248, 2013.
  
• D. Bernardini and A. Bemporad, Stabilizing model predictive control of stochastic constrained linear systems, IEEE Transactions on Automatic Control, vol. 57, no. 6, pp. 1468-1480, 2012.
  
• M.C.F. Donkers, W.P.M.H. Heemels, D. Bernardini, A. Bemporad, V. Shneer, Stability analysis of stochastic networked control systems, Automatica, vol. 48, no. 5, pp. 917-925, 2012.
  
• D. Bernardini and A. Bemporad, Energy-aware robust model predictive control based on noisy wireless sensors, Automatica, vol. 48, no. 1, pp. 36-44, 2012.
  
• A. Bemporad, D. Bernardini, F.A. Cuzzola, and A. Spinelli, Optimization-based automatic flatness control in cold tandem rolling, Journal of Process Control, vol. 20, no. 4, pp. 396-407, 2010.
  

Book Contributions

• D. Bernardini, D. Muñoz de la Peña, A. Bemporad, and E. Frazzoli, Simultaneous optimal control and discrete stochastic sensor selection, in Hybrid Systems: Computation and Control, R. Majumdar and P. Tabuada, Eds., Lecture Notes in Computer Science, pp. 61-75. Springer-Verlag, Berlin Heidelberg, 2009.
  

Refereed Proceedings

• H. Esen, T. Tashiro, D. Bernardini, and A. Bemporad, Cabin Heat Thermal Management in Hybrid Vehicles using Model Predictive Control, in Proc. 22nd Mediterranean Conference on Control and Automation, Palermo, Italy, 2014, pp. 49-54.
  
• P. Sopasakis, D. Bernardini, and A. Bemporad, Constrained Model Predictive Control Based on Reduced-Order Models, in Proc. 52nd IEEE Conf. on Decision and Control, Florence, Italy, 2013, pp. 7071-7076.
  
• L. Puglia, P. Patrinos, D. Bernardini, and A. Bemporad, Reliability and Efficiency for Market Parties in Power Systems, in Proc. 10th International Conference on the European Energy Market, Stockholm, Sweden, 2013, pp. 1-8.
• P. Patrinos, D. Bernardini, A. Maffei, A. Jokic, and A. Bemporad, Two-time-scale MPC for economically optimal real-time operation of balance responsible parties, in Proc. 8th IFAC Symposium on Power Plant and Power System Control, Toulouse, France, 2012, pp. 741-746.
  
• L. Puglia, D. Bernardini and A. Bemporad, A multi-stage stochastic optimization approach to optimal bidding on energy markets, in Proc. 50th IEEE Conf. on Decision and Control and European Control Conference, Orlando, FL, 2011, pp. 1509-1514.
  
• M. Rubagotti, S. Trimboli, D. Bernardini, and A. Bemporad, Stability and invariance analysis of approximate explicit MPC based on PWA Lyapunov functions, in Proc. of 18th IFAC World Congress, Milano, Italy, 2011, pp. 5712-5717.
  
• M. Bichi, G. Ripaccioli, S. Di Cairano, D. Bernardini, A. Bemporad, and I.V. Kolmanovsky, Stochastic model predictive control with driver behavior learning for improved powertrain control, in Proc. 49th IEEE Conf. on Decision and Control, Atlanta, GA, 2010, pp. 6077-6082.
  
• D. Barcelli, D. Bernardini, and A. Bemporad, Synthesis of networked switching linear decentralized controllers, in Proc. 49th IEEE Conf. on Decision and Control, Atlanta, GA, 2010, pp. 2480-2485.
  
• D. Bernardini, M.C.F. Donkers, A. Bemporad, and W.P.M.H. Heemels, A model predictive control approach for stochastic networked control systems, 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems, Annecy, France, 2010, pp. 7-12.
  
• S. Di Cairano, H.E. Tseng, D. Bernardini, and A. Bemporad, Steering vehicle control by switched model predictive control, 6th IFAC Symposium Advances in Automotive Control, Munich, Germany, 2010.
  
• M.C.F. Donkers, W.P.M.H. Heemels, D. Bernardini, A. Bemporad, and V. Shneer, Stability analysis of stochastic networked control systems, in Proc. American Control Conference, Baltimore, MD, 2010, pp. 3684-3689.
  
• G. Ripaccioli, D. Bernardini, S. Di Cairano, A. Bemporad, and I.V. Kolmanovsky, A stochastic model predictive control approach for series hybrid electric vehicle power management, in Proc. American Control Conference, Baltimore, MD, 2010, pp. 5844-5849.
  
• D. Bernardini and A. Bemporad, Scenario-based model predictive control of stochastic constrained linear systems, in Proc. 48th IEEE Conf. on Decision and Control, Shanghai, China, 2009, pp. 6333-6338.
  
• D. Bernardini, S. Di Cairano, A. Bemporad, and H.E. Tseng, Drive-by-wire vehicle stabilization and yaw regulation: a hybrid model predictive control design, in Proc. 48th IEEE Conf. on Decision and Control, Shanghai, China, 2009, pp. 7621-7626.
  
• D. Bernardini and A. Bemporad, Energy-aware robust model predictive control with feedback from multiple noisy wireless sensors, 10th European Control Conference, Budapest, Hungary, 2009, pp. 4308-4313.
  
• D. Bernardini and A. Bemporad, Energy-aware robust model predictive control based on wireless sensor feedback, in Proc. 47th IEEE Conf. on Decision and Control, Cancun, Mexico, 2008, pp. 3342-3347.
  

Technical Reports

• A. Bemporad, D. Bernardini, F.A. Cuzzola, and A. Spinelli, Optimization-based AFC automatic flatness control in cold tandem rolling, Technological Paper, Danieli Automation SpA, 2011.
  
• M.C.F. Donkers, W.P.M.H. Heemels, D. Bernardini, A. Bemporad, and V. Shneer, Stability analysis of stochastic networked control systems, Technical report, Eindhoven University of Technology, HNS 2011.002, 2011.
  
• A. Bemporad, D. Bernardini, F.A. Cuzzola, A. Spinelli, Optimization-based feedback control of flatness in a cold tandem rolling, Tech. Rep. 2007-4, Dept. Information Engineering, University of Siena, Italy, 2007.
  

Theses

• D. Bernardini, Model predictive control of stochastic and networked systems, Ph.D. thesis, University of Siena, Italy, February 2011.
  
• D. Bernardini, Energy-aware model predictive control based on wireless sensor feedback, M.E. thesis, University of Siena, Italy, June 2007. In Italian.
  
• D. Bernardini, Modelling and coordinated flatness control based on optimization for cold tandem rolling, B.E. thesis, University of Siena, Italy, January 2005. In Italian.