Services

Our Services

ODYS offers engineering services for the design and development of automatic control systems based on real-time optimization, model predictive control, and machine learning. The consulting services of ODYS include analyzing with the client the desired features to be optimized, constraints, and sources of uncertainty, along with the most adequate engineering solution for it, and the development of the software modules required for solving the decision problem. Training and after-sale support is offered remotely or at the client site.

In addition to being a supplier for private companies, ODYS is also actively participating in externally funded projects, including European and national projects. Partnerships in research and innovation projects create opportunities for ODYS to bridge the gap between academia and industry, enabling technology transfer and reducing the time-to-market of innovative products.

Patents

Collaborating with ODYS to design innovative control systems often opens up opportunities for patents. The following patents are co-authored by ODYS and owned by our clients:

• Architecture and methodology of adaptive tire force prediction for integrated vehicle motion control
  • Type: US patent, issued May 4, 2023
  • Assignee: GM Global Technology Operations LLC
  • Inventors: H. Askari, S. A. Nahidi, S. Mashrouteh, R. Long, B. Pattipati, S. K. Mahabadi, H. Tan, L. Frascati
• Model predictive control of torque converter clutch slip
  • Type: US patent, issued December 8, 2020
  • Assignee: GM Global Technology Operations LLC
  • Inventors: J.C. Zavala Jurado, G. Cimini, B.P. Jagielo, Z. Zhang, Y.Y. Wang, H. Atmaram
• Fuel economy optimization using air-per-cylinder (APC) in MPC-based powertrain control
  • Type: US patent, issued September 3, 2019
  • Assignee: GM Global Technology Operations LLC
  • Inventors: M. Livshiz, B. Pattipati, D. Bernardini, A. Bemporad
• Linearized model based powertrain MPC
  • Type: US patent, issued September 3, 2019
  • Assignee: GM Global Technology Operations LLC
  • Inventors: M. Livshiz, D. Bernardini, A. Bemporad, B. Pattipati
• Electronic throttle control using model predictive control
  • Type: US patent, issued May 14, 2019
  • Assignee: GM Global Technology Operations LLC
  • Inventors: S. Levijoki, B. Xu, G. Cimini
• Selective catalytic reduction fault detection
  • Type: US patent, issued May 11, 2019
  • Assignee: GM Global Technology Operations LLC
  • Inventors: A. Neri, A. Tuninetti, M. Camuglia, G. Binetti, G. Mazzara Bologna, A. Bemporad, D. Bernardini
• Method for controlling an injector for injecting a reductant into an exhaust system of an internal combustion engine
  • Type: US patent, issued February 5, 2019
  • Assignee: GM Global Technology Operations LLC
  • Inventors: V. Alfieri, G. Mazzara Bologna, G. Conte, A. Bemporad, D. Bernardini
• Coordination of torque interventions in MPC-based powertrain control
  • Type: US patent, issued November 6, 2018
  • Assignee: GM Global Technology Operations LLC
  • Inventors: M. Livshiz, B. Pattipati, C. Whitney, D. Bernardini, A. Bemporad
• Propulsion system control with MPC
  • Type: US patent, issued May 8, 2018
  • Assignee: GM Global Technology Operations LLC
  • Inventors: M. Livshiz, C. Whitney, K. Wong, D. Bernardini, A. Bemporad
• Axle torque control system for a motor vehicle
  • Type: US patent, issued October 17, 2017
  • Assignee: GM Global Technology Operations LLC
  • Inventors: M. Livshiz, C. Whitney, K. Wong, D. Bernardini, A. Bemporad
• Model predictive control systems and methods for internal combustion engines
  • Type: US patent, issued March 21, 2017
  • Assignee: GM Global Technology Operations LLC
  • Inventors: R. Long, N. Jin, A. Bemporad, D. Bernardini, N. Jin
• Estimation systems and methods with model predictive control
  • Type: US patent, issued January 10, 2017
  • Assignee: GM Global Technology Operations LLC
  • Inventors: J. Verdejo, A. Bemporad, D. Bernardini, R. Long, J. Chen
• System and method for managing the period of a control loop for controlling an engine using model predictive control
  • Type: US patent, issued September 6, 2016
  • Assignee: GM Global Technology Operations LLC
  • Inventors: K. Wong, C. Whitney, A. Bemporad, D. Bernardini
• System and method for adjusting a torque capacity of an engine using model predictive control
  • Type: US patent, issued July 26, 2016
  • Assignee: GM Global Technology Operations LLC
  • Inventors: C. Whitney, K. Wong, G. Cygan, A. Bemporad, D. Bernardini
• Artificial output reference for model predictive control
  • Type: US patent, issued July 12, 2016
  • Assignee: GM Global Technology Operations LLC
  • Inventors: G. Cygan, J. Verdejo, C. Whitney, A. Bemporad, D. Bernardini
• Model predictive control systems and methods for internal combustion engines
  • Type: US patent, issued May 24, 2016
  • Assignee: GM Global Technology Operations LLC
  • Inventors: R. Long, G. Cygan, J. Verdejo, C. Whitney, N. Jin, A. Bemporad, D. Bernardini
• System and method for improving the response time of an engine using model predictive control
  • Type: US patent, issued May 10, 2016
  • Assignee: GM Global Technology Operations LLC
  • Inventors: G. Cygan, J. Verdejo, N. Jin, A. Bemporad, D. Bernardini
• Optimization and control method for a distributed micro-generation energy plant
  • Type: European patent application, filed March 16, 2015
  • Applicant: Trillary S.r.l.
  • Inventors: M. Gubert, D. Taglioni, D. Bernardini, A. Bemporad

Publications

ODYS expertise is based on years of academic research on automatic control and optimization. Here below is a list of selected papers showing theoretical and applied research results in various application domains. See more on Google Scholar webpages of Daniele Bernardini, Alberto Bemporad and Gionata Cimini.

Automotive

• G. Cimini, D. Bernardini, A. Bemporad, and S. Levijoki, Embedded Model Predictive Control with Certified Real-Time Optimization for Synchronous Motors, IEEE Transactions on Control Systems Technology, Mar. 2020.
• A. Bemporad, D. Bernardini, R. Long, and J. Verdejo, Model predictive control of turbocharged gasoline engines for mass production, SAE Technical Paper 2018-01-0875, 2018.
• A. Bemporad, D. Bernardini, M. Livshiz, and B. Pattipati, Supervisory model predictive control of a powertrain with a continuously variable transmission, SAE Technical Paper 2018-01-0860, 2018.
• G. Cimini, Y. Kim, B. McCain, J. Siegel, and A. Stefanopoulou, Model predictive control for real-time position tracking of a catenary-free tram, IFAC PapersOnLine, vol. 50 no. 1, pp. 1000–1005, 2017.
• M. G. Plessen, D. Bernardini, H. Esen, and A. Bemporad, Spatial-based predictive control and geometric corridor planning for adaptive cruise control coupled with obstacle avoidance, IEEE Transactions on Control Systems Technology, vol. 26, no. 1, Jan. 2018.
• G. Cimini, D. Bernardini, A. Bemporad, and S. Levijoki, Online model predictive torque control for permanent magnet synchronous motors, in Proc. 2015 IEEE International Conference on Industrial Technology, Seville, Spain, 2015, pp. 2308–2313.
• 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.
• 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, USA, 2010, pp. 5844–5849.

Aerospace

• A. Pannico, G. Cimini, C. Quadri, R. Paradiso, L. Bucchieri, Y. Rouphael, and S. De Pascale, A plant characterization unit for closed life support: Hardware and control design for atmospheric systems, Frontiers in Astronomy and Space Sciences, 14 April 2022.
• P. Serra, P. Lourenço, J. Branco, J.F. Briz Valero, M. Mammarella, T. Peters, D. Mora Portela, S. Manara, D. Bernardini, A. Bemporad, P. Foglia Manzillo, J. Witteveen, and A. Cropp, Computational Guidance & Navigation for Bearings-only Rendezvous – Methods and Outcomes of GUIBEAR, in 11th International ESA Conference on Guidance, Navigation & Control Systems, held virtually on June 22-25, 2021.
• P. Sopasakis, D. Bernardini, H. Strauch, S. Bennani, and A. Bemporad, A hybrid model predictive control approach to attitude control with minimum-impulse-bit thrusters, in Proc. European Control Conference, Linz, Austria, 2015.
• A. Bemporad and C. Rocchi, Decentralized linear time-varying model predictive control of a formation of unmanned aerial vehicles, in Proc. 50th IEEE Conf. on Decision and Control and European Control Conference, Orlando, FL, 2011, pp. 7488–7493.
• A. Bemporad, C.A. Pascucci, and C. Rocchi, Hierarchical and hybrid model predictive control of quadcopter air vehicles, in 3rd IFAC Conference on Analysis and Design of Hybrid Systems, Zaragoza, Spain, 2009, pp. 14–19.

Energy

• G. Serale, M. Fiorentini, A. Capozzoli, D. Bernardini, and A. Bemporad, Model Predictive Control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities, in Energies, vol. 11, no. 3, 2018.
• 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 Conf., Orlando, FL, 2011, pp. 1509–1514.
• P. Patrinos, S. Trimboli, and A. Bemporad, Stochastic MPC for real-time market-based optimal power dispatch, in Proc. 50th IEEE Conf. on Decision and Control and European Control Conf., Orlando, FL, 2011, pp. 7111–7116.

Process control

• A. Bemporad, D. Bernardini, F.A. Cuzzola, and A. Spinelli, Optimization-based feedback control of flatness in a cold tandem rolling, Journal of Process Control, vol. 20, pp. 396–407, 2010.
• P. Menchinelli and A. Bemporad, Hybrid model predictive control of a solar air conditioning plant, European Journal of Control, vol. 14, no. 6, pp. 501–515, 2008.

Model Predictive Control and optimization theory

• K. Løwenstein, D. Bernardini, L. Fagiano, and A. Bemporad, Physics-informed online learning of gray-box models by moving horizon estimation, European Journal of Control, Available online 3 July 2023.
• A. Bemporad and G. Cimini, Variable elimination in model predictive control based on K-SVD and QR factorization, IEEE Transactions on Automatic Control, vol. 68, no. 2, pp. 782-797, 2023.
• G. Cimini and A. Bemporad, Reduction of the Number of Variables in Parametric Constrained Least-Squares Problems, 2020.
• G. Cimini and A. Bemporad, Exact complexity certification of active-set methods for quadratic programming, IEEE Transactions on Automatic Control, vol. 62, no. 12, pp. 6094-6109, 2017.
• D. Bernardini and A. Bemporad, Stabilizing model predictive control of stochastic constrained linear systems, IEEE Transactions on Automatic Control, vol. 57, no. 6, pp. 1478–1480, 2012.
• M.C.F. Donkers, W.P.M.H. Heemels, D. Bernardini, A. Bemporad, and V. Shneer, Stability analysis of stochastic networked control systems, Automatica, vol. 48, pp. 917–925, 2012.
• A. Bemporad, M. Morari, V. Dua, and E.N. Pistikopoulos, The explicit linear quadratic regulator for constrained systems, Automatica, vol. 38, pp. 3–20, 2002.
• A. Bemporad and M. Morari, Control of systems integrating logic, dynamics, and constraints, Automatica, vol. 35, pp. 407–427, 1999.