Publications

 

Papers on international journals

[1]         L. Bascetta, M. Farina, A. Gabrielli, M. Matteucci. A feedback linearisation algorithm for single-track models with structural stability properties. Control Engineering Practice, Volume 128, paper n. 105318, 2022.

[2]        F. Bonassi, M. Farina, J. Xie and R. Scattolini. On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. Journal of Process Control, Volume 114, pp. 92-104, 2022.

[3]        F. Bonassi, M. Farina, R. Scattolini. On the stability properties of Gated Recurrent Units neural networks. Systems & Control Letters. Volume 157, 2021.

[4]        M. Farina, A. Caspani. Model-based fault isolability and isolation of persistent faults: centralized and distributed implementations. System & control letters. Volume 156, 2021.

[5]        S. Spinelli, M. Farina, and A. Ballarino. A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. IEEE Transactions on Control System Technology. Volume 30 (3), pp. 1145-1158, 2021.

[6]        E. Terzi, M. Farina, L. Fagiano, R. Scattolini. Robust multi-rate predictive control using multi-step prediction models learned from data. Automatica. Vol. 136, paper n. 109852, 2021.

[7]        M. Pezzutto, M. Farina, R. Carli and L. Schenato. Remote MPC for Tracking Over Lossy Networks. IEEE Control Systems Letters, vol. 6, pp. 1040-1045, 2021.

[8]        F. Bonassi, M. Farina, R. Scattolini. On the stability properties of Gated Recurrent Units neural networks. Systems & Control Letters, Volume 157, 2021.

[9]        M. Farina, A. Caspani, Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations, Systems & Control Letters, Volume 156, 2021.

[10]      E. Terzi, F. Bonassi, M. Farina, R. Scattolini. Learning model predictive control with long short-term memory networks. International Journal of Robust and Nonlinear Control, Volume 31, pp 8877-8896, 2021.

[11]       S. Spinelli, M. Farina and A. Ballarino. An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation. Journal of Process Control, 94, pp. 58-74, 2020.

[12]      D. Bicego, J. Mazzetto, M. Farina, R. Carli, A. Franchi. Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs. Journal of Intelligent & Robotic Systems. vol. 100, pp.1213-1247, 2020.

[13]      E. Terzi, T. Bonetti, D. Saccani, M. Farina, L. Fagiano, R. Scattolini. Learning-based predictive control of the cooling system of a large business centre. Control Engineering Practice. Volume 97, 2020.

[14]      E. Terzi, L. Fagiano, M. Farina, R. Scattolini. Structured modelling from data and optimal control of the cooling system of a large business center. Journal of Building Engineering, Volume 28, 2020.

[15]      M. Lauricella, M. Farina, R. Schneider, R. Scattolini. Iterative distributed fault detection and isolation for linear systems based on Moving Horizon Estimation. International Journal of Adaptive Control and Signal Processing, 2020, Volume 34, Issue 6, pp 743-756.

[16]      A. La Bella, M. Farina, C. Sandroni, R. Scattolini. Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services. IEEE Transactions on Control Systems Technology, 2020, Volume 28 (6), pp. 2616-2624.

[17]      L. Bugliari Armenio, E. Terzi, M. Farina, R. Scattolini. Model Predictive Control Design for Dynamical Systems Learned by Echo State Networks. IEEE Control Systems Letters (L-CSS), Volume 3, Issue 4, 2019, pp. 1044-1049.

[18]      E. Terzi, L. Fagiano, M. Farina, R. Scattolini. Learning-based predictive control for linear systems: a unitary approach. Automatica. Volume 108, 2019, pp. 1-13.

[19]      M. Farina, X. Zhang, R. Scattolini. A hierarchical MPC scheme for coordination of independent systems with shared resources and plug-and-play capabilities. IEEE Transactions on Control System Technology, 28(2), 2020.

[20]     F. Boem, R. Carli, M. Farina, G. Ferrari Trecate, T. Parisini. Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug \& Play Approach. IEEE Transactions on Control of Network Systems. Volume 6(12), 2019, pp. 800-811.

[21]      X. Zhang, M. Farina, S. Spinelli, R. Scattolini. A multi-rate Model Predictive Control algorithm for systems with fast-slow dynamics. IET Control Theory and applications. Volume 12(18), 2018, pp. 2468-2477.

[22]     G. Bardaro, L. Bascetta, E. Ceravolo, M. Farina, M. Gabellone, M. Matteucci. MPC-based control architecture of an autonomous wheelchair for indoor environments. Control Engineering Practice. Volume 78, 2018, pp. 160-174.

[23]     M. Farina, X. Zhang, R. Scattolini. A hierarchical multi-rate MPC scheme for interconnected systems. Automatica. Volume 90, 2018, pp. 38-46.

[24]     M. Farina, S. Misiano. Stochastic Distributed Predictive Tracking Control for Networks of Autonomous Systems With Coupling Constraints. IEEE Transactions on Control of Network Systems. Volume 5(3), 2018, pp. 1412-1423.

[25]     M. Farina, R. Carli. Partition-based Distributed Kalman Filter with plug and play features. IEEE Transactions on Control of Network Systems. Volume 5 (1), 2018, pp 560-570.

[26]     S. Raimondi Cominesi, M. Farina, L. Giulioni, B. Picasso, R. Scattolini. A two-layer stochastic Model Predictive Control scheme for microgrids. IEEE Transactions on Control Systems Technology, Volume 26 (1), pp. 1-13, 2018.

[27]     M. Farina, L. Giulioni, R. Scattolini. Stochastic linear Model Predictive Control with chance constraints - a review. Journal of process control, Volume 44, pp. 53-67, 2016.

[28]     M. Farina, R. Scattolini. Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints. Automatica, Volume 70, pp. 258-265, 2016.

[29]     M. Farina, G. P. Ferrari, F. Manenti, E. Pizzi. Assessment and comparison of distributed model predictive control schemes: application to a natural gas refrigeration plant. Computers & Chemical Engineering, Volume 89, pp. 192-203, 2016.

[30]     A. Perizzato, M. Farina, R. Scattolini. Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots. Robotics and autonomous systems. Volume 72, pp. 248-260, 2015.

[31]      S. Riverso, M. Farina, G. Ferrari Trecate. Plug-and-play state estimation and application to distributed output-feedback model predictive control. European Journal of Control, Volume 25, pp. 17-26, 2015.

[32]     M. Farina, L. Giulioni, L. Magni, R. Scattolini. An MPC approach to output-feedback control of stochastic linear discrete-time systems. Automatica. Volume 55, pp. 140-149, 2015.

[33]     M. Farina, E. Osto, A. Perizzato, L. Piroddi, R. Scattolini. Fault Detection and Isolation of Bearings in a Drive Reducer of a Hot Steel Rolling Mill. Control Engineering Practice, Volume 39, 2015, pp. 35-44.

[34]     M. Farina, A. Guagliardi, F. Mariani, C. Sandroni, R. Scattolini. Model predictive control of voltage profiles in MV networks with distributed generation. Control Engineering Practice. Volume 34, January 2015, pp. 18-29, 2015.

[35]     M. Farina, G. Betti, R. Scattolini. Distributed Predictive Control of continuous-time systems. Systems and Control Letters. Volume 74, pp. 32-40, 2014.

[36]     S. Riverso, M. Farina, G. Ferrari Trecate. Plug-and-play model predictive control based on robust control invariant sets. Automatica. Volume 50, Issue 8, pp. 2179-2186, 2014

[37]     G. Betti, M. Farina, R. Scattolini. Realization issues, tuning, and testing of a distributed predictive control algorithm. Journal of Process Control. Volume 24, Issue 4, pp. 424-434, 2014.

[38]     M. Farina, L. Giulioni, G. Betti, and R. Scattolini. An approach to distributed predictive control for tracking - theory and applications. IEEE Transactions on Control System Technology. Volume 22, Issue 4, 2014, pp. 1558-1566.

[39]     M. Farina, P. Colaneri, and R. Scattolini. Block-wise discretization accounting for structural constraints. Automatica, Volume 49, 2013, pp. 3411-3417.

[40]     S. Aghaei, F. Sheikholeslam, M. Farina, and R. Scattolini. An MPC-based reference governor approach for offset-free control of constrained linear systems. International Journal of Control. Volume 86, number 9, 2013, pp. 1534-1539.

[41]      G. Betti, M. Farina, and R. Scattolini. A robust MPC algorithm for offset-free tracking of constant reference signals. IEEE Transactions on Automatic Control. Volume 58, number 9, 2013, pp. 2394-2400.

[42]     S. Riverso, M. Farina, and G. Ferrari Trecate. Plug-and-Play Decentralized Model Predictive Control for Linear Systems. IEEE Transactions on Automatic Control. Volume 58, number 10, 2013, pp. 2608-2614.

[43]     G. Betti, M. Farina, G. A. Guagliardi, A. Marzorati, and R. Scattolini. Development of a Control-Oriented Model of Floating Wind Turbines. IEEE Transactions on Control System Technology. Volume 22, Issue 1, 2014, pp. 69-82.

[44]    L. Piroddi, M. Farina and M. Lovera. Black Black box model identification of nonlinear input-output models: a Wiener-Hammerstein benchmark. Control Engineering Practice (2012), vol. 20, p. 1109-1118.

[45]     M. Farina and R. Scattolini. Tube-based robust sampled-data MPC for linear continuous-time systems. Automatica 48, 2012, pp. 1473-1476.

[46]     M. Farina and R. Scattolini. Distributed predictive control: a non-cooperative algorithm with neighbor-to-neighbor communication for linear systems. Automatica 48, pp. 1088 - 1096.

[47]     M. Giroletti, M. Farina and R. Scattolini. A hybrid frequency/power based method for industrial load shedding. International Journal of Electrical Power and Energy Systems, 35 (2012), pp 194-200.

[48]     P. S. Carinci, M. Farina, F. Manenti, R. Scattolini. Application of advanced estimation techniques to a chemical plant model. \emph{Chemical Engineering Transactions}. Volume 29, 2012, pp. 1609 - 1614.

[49]     E. Sacco, M. Farina, C. Greco, S. s a system-level property generated by its multi-domain structure. Biotechnology Advances, Special Issue IBS2010, Systems Biology, 2012 30(1), pp. 154-168.

[50]     M. Farina, G. Ferrari-Trecate and R. Scattolini. Distributed moving horizon estimation for nonlinear constrained systems. International Journal of Nonlinear and Robust Control, Volume 22 (2012), pp. 123-143.

[51]      R. Chignola, V. Vyshemirsky, M. Farina, A. Del Fabbro, E. Milotti. Modular model of TNFα cytotoxicity. Bioinformatics 2011, 27, pp 1754-1757.

[52]     R. Chignola, A. Del Fabbro, M. Farina and E. Milotti. Computational challenges of tumor spheroid modeling. Journal of Bioinformatics and Computational Biology 9(4), pp. 559-577.

[53]     M. Farina, G. Ferrari-Trecate, Carlo Romani and R. Scattolini. Moving horizon estimation for distributed nonlinear systems with application to cascade river reaches. Journal of Process Control, 21 (2011). pp. 767-774.

[54]     M. Farina, L. Piroddi. Simulation error minimization identification method based on multi-stage prediction. International Journal of Adaptive Control and Signal Processing, 25 (2011), pp.. 389-406.

[55]     M. Farina, L. Piroddi. Identification of Polynomial Input/Output Recursive Models with Simulation Error Minimization Methods. International Journal of System Science, 43 (2012), pp.. 319-333.

[56]     M. Farina, L. Piroddi. An iterative algorithm for simulation error based identification of polynomial input-output models using multi-step prediction. International Journal of Control, Volume 83 (7), July 2010, pp. 1442-1456.

[57]     M. Farina, L. Galleani, P. Tavella, S. Bittanti. A control theory approach to clock steering techniques. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. , vol. 57, no. 10, October 2010, pp. 2257 - 2270.

[58]     M. Farina, G. Ferrari-Trecate and R. Scattolini. Moving-horizon partition-based state estimation of large-scale systems. Automatica. Volume 46(5), 2010. pp.. 910-918.

[59]     M. Farina, G. Ferrari-Trecate and R. Scattolini. Distributed Moving Horizon Estimation for Linear Constrained Systems. IEEE Transactions on Automatic Control. Volume 55 (11), pp. 2462-2475.

[60]     E. Pisoni, M. Farina, C. Carnevale, L. Piroddi. Forecasting peak air pollution levels using NARX models. Engineering Applications of Artificial Intelligence, 22 (4-5), 2009. pp. 593-602.

[61]      M. Farina, S. Bittanti. An observer for mass-action chemical reaction networks. European Journal of Control, Volume 15 (5), 2009. pp. 578--593.

[62]     M. Farina, S. Bittanti, P. Tavella, L. Galleani. Control of clock signals. Journal of the Franklin Institute, 346(5), 2009. pp. 449-469.

[63]     E. Bullinger, D. Fey, M. Farina, R. Findeisen. Identifikation biochemischer Reaktionsnetzwerke: ein beobachterbasierter Ansatz. Identification of biochemical reaction networks: an observer based approach. AT - Automatisierungstechnik, DE 56 (2008) 5. pp. 269-279.

[64]     E. Milotti, R. Chignola, C. Dalla Pellegrina, A. Del Fabbro, M. Farina, D. Liberati. VBL: Virtual Biophysics Lab. Il nuovo cimento C, 31(1). pp. 109-118, 2008.

 

Peer reviewed conference

[1]         W. D'Amico, M. Farina. Data-based control design for linear discrete-time systems with robust stability guarantees. CDC22 Conference, pp. 1429-1434, 2022.

[2]        F. Bonassi, J. Xie, M. Farina, R. Scattolini. An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC2022 Conference, pp. 2123-2128, 2022.

[3]        F. Bonassi, J. Xie, M. Farina, R. Scattolini. Towards lifelong learning of Recurrent Neural Networks for control design. ECC2022 Conference, pp. 2018-2023, 2022.

[4]        W. D'Amico, M. Farina, G. Panzani. Recurrent Neural Networks controllers learned using Virtual Reference Feedback Tuning with application to an Electronic Throttle Body. ECC2022 Conference, pp. 2137-2142, 2022.

[5]        F. Bonassi, M. Farina, R. Scattolini. Stability of discrete-time feed-forward neural networks in NARX configuration. SYSID 2021, recipient of the Young Author Award.

[6]        E. Terzi, T. Bonetti, D. Saccani, M. Farina, L. Fagiano, R. Scattolini. Data-driven predictive control of the cooling system of a large business center. 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020).

[7]        L. Bugliari Armenio, L. Fagiano, E. Terzi, M. Farina, and R. Scattolini. Optimal Training of Echo State Networks via Scenario Optimization, IFAC-PapersOnLine, Volume 53, Issue 2, pp. 5183-5188, 2020.

[8]        F. Petzke, M. Farina, S. Streif. A Hierarchical MPC Scheme for Ensembles of Hammerstein Systems, IFAC-PapersOnLine, Volume 53, Issue 2, pp. 6951-6956, 2020.

[9]        S. Spinelli, E. Longoni, M. Farina, F. Petzke, S. Streif, A. Ballarino. A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators, IFAC-PapersOnLine, Volume 53, Issue 2, pp. 11557-11562, 2020

[10]      L. Xu, B. Guo, C. L. Galimberti, M. Farina, R. Carli, G. Ferrari-Trecate. Suboptimal Distributed LQR Design for Physically Coupled Systems. IFAC-PapersOnLine, Volume 53, Issue 2, pp. 11032-11037, 2020.

[11]       F. Bonassi, E. Terzi, M. Farina and R. Scattolini. LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. Proceedings of the 2nd Conference on Learning for Dynamics and Control, pp. 85-94, 2020.

[12]      J. R. Salvador, E. Terzi, M. Farina, D. R. Ramirez, D. Munoz de la Pena, R. Scattolini. Learning-based predictive control for MIMO systems. 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, pp. 7671-7676.

[13]      A. La Bella, F. Bonassi, M. Farina, R. Scattolini. Two-layer model predictive control of systems with independent dynamics and shared control resources. Proceedings of LSS 2019, IFAC PapersOnLine 52-3, pp. 96-101.

[14]      L. Bugliari Armenio, E. Terzi, M. Farina, R. Scattolini. Echo State Networks: analysis, training and predictive control. Proceedings of ECC, 2019, pp. 799-804.

[15]      S. Spinelli, M. Farina and A. Ballarino. An optimal control of start-up for nonlinear re-tube boilers with thermal stress constraints. Proceedings of ECC 2019, pp. 2362-2367.

[16]      E. Rossi, M. Bruschetta, R. Carli, Y. Chen, M. Farina. Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver. Proceedings of ECC 2019, pp. 3996-4001.

[17]      F. Petzke, M. Farina, S. Streif. A Multirate Hierarchical MPC Scheme for Ensemble Systems. Proceedings of CDC 2018, pp. 5874-5879.

[18]      P. Mc Namara, R. Negenborn, J. C. Canizares, M. Farina, J. M. Maestre, P. Trodden, S. Olaru. Life lessons from and for distributed MPC, Part 1: Dynamics of cooperation. Proceedings of the IFAC Conference on Technology, Culture and International Stability - 18th TECIS 2018. IFAC PapersOnLine 51-30, pp. 101-106.

[19]      P. Mc Namara, R. Negenborn, J. C. Canizares, M. Farina, J. M. Maestre, P. Trodden, S. Olaru. Life lessons from and for distributed MPC, Part 2: Choice of decision makers. Proceedings of the IFAC Conference on Technology, Culture and International Stability - 18th TECIS 2018. IFAC PapersOnLine 51-30, pp. 101-106.

[20]     A. La Bella, M. Farina, C. Sandroni, R. Scattolini. On the design of a microgrids aggregation management framework to provide ancillary services. Proceedings of the CIRED Workshop, 2018, paper 497.

[21]      E. Terzi, L. Fagiano, M. Farina, R. Scattolini. Identification of the cooling system of a large business center. 18th IFAC Symposium on System Identification, pp. 174-179.

[22]     S. Attuati, M. Farina, F. Boem and T. Parisini. Reducing false alarm rates in observer-based distributed fault detection schemes by analysing moving averages. Proceedings of SAFEPROCESS 2018. IFAC PapersOnLine 51 24, pp. 473-479.

[23]     A. La Bella, M. Farina, C. Sandroni, R. Scattolini. Microgrids aggregation management providing ancillary services. Proceedings of the European Control Conference, 2018, pp. 1136-1141.

[24]     E. Terzi, L. Fagiano, M. Farina, R. Scattolini. Learning multi-step prediction models for receding horizon control. Proceedings of the European Control Conference, 2018, pp. 1335-1340.

[25]     E. Terzi, M. Farina, L. Fagiano, R. Scattolini. Robust predictive control with data-based multi-step prediction models. Proceedings of the European Control Conference, 2018, pp. 1710-1715.

[26]     S. Spinelli, M. Farina and A. Ballarino. A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units. Proceedings of the European Control Conference, 2018, pp. 416-421.

[27]     M. Lauricella, M. Farina, R. Schneider, R. Scattolini. A distributed fault detection and isolation algorithm based on Moving Horizon Estimation. IFAC WC 2017, pp. 15259 15264, 2017.

[28]     M. Farina, X. Zhang, R. Scattolini. A hierarchical MPC scheme for interconnected systems. IFAC WC 2017, pp. 12021-12026.

[29]     E. Ceravolo, M. Gabellone, M. Farina, L. Bascetta, M. Matteucci. Model Predictive Control of an autonomous wheelchair. IFAC WC 2017, pp. 9821- 9826.

[30]     S. Raimondi Cominesi, A. La Bella, M. Farina, R. Scattolini. A multi-layer control scheme for microgrid energy management. IFAC Workshop on Control of Transmission and Distribution Smart Grids, CTDSG 2016, pp. 256-261.

[31]      F. Boem, R. Carli, M. Farina, G. Ferrari-Trecate, T. Parisini. Scalable Monitoring of Interconnected Stochastic Systems. Proceedings of CDC 2016: 1285-1290.

[32]     M. Farina, L. Giulioni, R. Scattolini. Distributed Predictive Control of Stochastic Linear Systems with chance constraints. Proceedings of ACC 2016, pp. 20-25.

[33]     M. Farina, R. Carli. Distributed state estimation for independent linear systems with relative and absolute measurements. Proceedings of ACC 2016, pp. 2029-2034.

[34]     M. Farina, R. Carli. Plug and play partition-based state estimation based on Kalman flter. 2015 IEEE Conference on Decision and Control, pp. 3155 - 3160.

[35]     A. Perizzato, M. Farina, R. Scattolini. Formation control and collision avoidance of unicycle robots with distributed predictive control. 5th IFAC Conference on Nonlinear Model Predictive Control 2015 (NMPC'15), Volume 48, Issue 23, pp. 260-265.

[36]     M. Farina, R. Scattolini. Model predictive control of linear systems with multiplicative unbounded uncertainty and average constraints. 5th IFAC Conference on Nonlinear Model Predictive Control 2015 (NMPC'15), Volume 48, Issue 23, pp. 266-271.

[37]     S. Raimondi Cominesi, M. Farina, L. Giulioni, B. Picasso, and R. Scattolini. Two-layer predictive control of a micro-grid including stochastic energy sources. American Control Conference 2015, pp. 918-923.

[38]     A. Perizzato, M. Farina, R. Scattolini. Stochastic Distributed Predictive Control of Independent Systems with Coupling Constraints. 2014 IEEE Conference on Decision and Control, pp. 3228 - 3233.

[39]     A. Perizzato, M. Farina, L. Piroddi, R. Scattolini, E. Osto. Fault Detection of Bearings in a Drive Reducer of a Hot Steel Rolling Mill. 2014 IEEE Multi-conference on Systems and Control, pp. 77-82.

[40]     M. Farina, L. Giulioni, L. Magni, and R. Scattolini. Output Feedback Model Predictive Control: a probabilistic approach. IFAC World Congress 2014, Volume 19, Part 1, pp. 7461-7466.

[41]      M. Farina, D. Zoni, W. Fornaciari. A control-inspired iterative algorithm for memory management in NUMA multicores. IFAC World Congress 2014, pp. 6117-6122.

[42]     S. Riverso, M. Farina, G. Ferrari Trecate. Design of plug-and-play model predictive control: an approach based on linear programming. CDC 2013 Conference, pp. 6530 - 6535.

[43]     S. Riverso, M. Farina, R. Scattolini, G. Ferrari Trecate. Plug-and-play distributed state estimation for linear systems. CDC 2013 Conference, pp. 4889 - 4894.

[44]    G. Betti, M. Farina, and R. Scattolini. Decentralized predictive control for tracking constant references. CDC 2013 Conference, pp. 5228 - 5233.

[45]     M. Farina, L. Giulioni, L. Magni, and R. Scattolini. A probabilistic approach to model predictive control. CDC 2013 Conference, pp. 7734 - 7739.

[46]     M. Farina, G. Betti, R. Scattolini. A solution to the tracking problem using distributed predictive control. Proceedings of the ECC 2013 Conference, pp. 4347 - 4352.

[47]     G. Betti, M. Farina, and R. Scattolini. An MPC algorithm for o set-free tracking of constant reference signals. IEEE CDC 2012 Conference, pp. 5182 - 5187.

[48]     S. Riverso, M. Farina, and G. Ferrari-Trecate. Plug and play decentralized model predictive control. IEEE CDC 2012 Conference, pp. 4193-4198.

[49]     G. Betti, M. Farina, A. Marzorati, R. Scattolini, and G. A. Guagliardi. Modeling and control of a oating wind turbine with spar buoy platform. IEEE International Energy Conference and Exhibition (ENERGYCON), 2012, pp. 189-194.

[50]     G. Betti, M. Farina, and R. Scattolini. Distributed predictive control for tracking constant references. 2012 American Control Conference, pp. 6364 - 6369.

[51]      P. Colaneri, M. Farina, R. Scattolini, R. Shorten. A note on discretization of sparse linear systems. Proceedings of the 7th IFAC Symposium on Robust Control Design, (ROCOND'12), pp. 97 - 102.

[52]     M. Farina, R. Scattolini. An output feedback distributed predictive control algorithm. 50th IEEE Conference on Decision and Control, Orlando, Florida, USA 2011, December 12-15 2011, pp. 8139-8144.

[53]     M. Farina, R. Scattolini. Distributed non-cooperative MPC with neighbor-to-neighbor communication. Proceedings of the IFAC 2011 World Conference. August 28 - September 2 2011, Milan, Italy. pp. 404 - 409.

[54]     F. Casella, M. Farina, F. Righetti, R. Scattolini, D. Faille, F. Davelaar, A. Tica, H. Gueguen, D. Dumur. An optimization procedure of the start-up of Combined-Cycle Power Plants. Proceedings of the IFAC 2011 World Conference. August 28 - September 2 2011, Milan, Italy. pp. 7043 - 7048.

[55]     E. Pisoni, M. Farina, G. Pagani, L. Piroddi. Environmental Over-Threshold Event Forecasting using NARX Models. Proceedings of the IFAC 2011 World Conference. August 28 - September 2 2011, Milan, Italy. pp. 10559 - 10564.

[56]     M. Farina, L. Piroddi. Convergence properties of an iterative prediction approach to nonlinear SEM parameter estimation. Proceedings of the 49th IEEE Conference on Decision and Control. December 15-17, 2010, Atlanta, GA, USA. pp. 7226 - 7231.

[57]     M. Farina, G. Ferrari-Trecate and R. Scattolini. Distributed moving horizon estimation for nonlinear constrained systems. Proceedings of the NOLCOS 2010 conference, 2010. pp. 909 - 914.

[58]     M. Farina, G. Ferrari-Trecate and R. Scattolini. State estimation for large-scale partitioned systems: a moving horizon approach. Proceedings of the 2010 American Control Conference, Baltimore, MD, USA, June 30-July 2, 2010. pp. 3180-3185.

[59]     M. Farina and L. Piroddi. Approximate SEM identification of polynomial input-output models. Proceedings of the 2010 American Control Conference, Baltimore, MD, USA, June 30-July 2, 2010. pp. 7040-7045.

[60]     M. Farina, G. Ferrari-Trecate and R. Scattolini. A moving horizon scheme for distributed state estimation. Proceedings of the 48th Conference on Decision and Control, CDC 2009, Shangai, China 16-18 December 2009. pp. 1818-1823.

[61]      M. Farina, G. Ferrari-Trecate and R. Scattolini. Distributed moving horizon estimation for sensor networks. Proceedings of the 1st IFAC Workshop on Estimation and Control of Networked Systems, pp. 126-131, Venice, Italy, September 24-26, 2009.

[62]     M. Farina, L. Piroddi. Simulation Error Minimization-Based Identification of Polynomial Input-Output Recursive Models. 15th IFAC Symposium on System Identification, pp. 1393-1398, Saint-Malo (France), July 6-8, 2009.

[63]     L. Piroddi, M. Farina, M. Lovera. Polynomial NARX Model Identification: a Wiener-Hammerstein Benchmark. 15th IFAC Symposium on System Identification, pp. 1074-1079, Saint-Malo (France), July 6-8, 2009.

[64]     M. Farina, L. Piroddi. Some Convergence Properties of Multi-Step Prediction Error Identification Criteria. Proceedings of the 47th Conference on Decision and Control, Cancun, Mexico 9-11 Dicembre 2008. pp. 756-761.

[65]     M. Farina, R. Findeisen, E. Bullinger, S. Bittanti, F.Allgoewer, P. Wellstead. Results towards identifiability properties of biochemical reaction networks. Proceedings of the 45th Conference on Decision and Control San Diego, CA, USA 13-15 Dicember 2006. pp. 2104-2109.

[66]     S. Bittanti, A. De Marco, M. Farina, S. Spelta. Modelling and simulation of a Dish Stirling solar engine. Proceedings of the 16th IFAC World Conference, Praha, Czech Republic, 3-8 July 2005, pp. 362-367.


Book chapters:

[1]        M. Farina, M. Prandini. Hybrid models for gene regulatory networks: The case of lac operon in E.Coli. Hybrid Systems: Computation and Control, Bemporad, Alberto; Bicchi, Antonio; Buttazzo, Giorgio (Eds.), Lecture Notes in Computer Science, Springer-Verlag, ISBN: 978-3-540-71492-7, pp 693-697.

[2]        G. Betti, M. Farina, and R. Scattolini. Distributed predictive control: a noncooperative approach based on robustness concepts. Intelligent Systems, Control and Automation: Science and Engineering, Vol. 69, Springer, 2013, ISBN 978-94-007-7005-8, Chapter 25.

[3]        P. Colaneri, M. Farina, S. Kirkland, R. Scattolini, R. Shorten. Positive Systems: Discretization with Positivity and Constraints. Hybrid systems with constraints. J. Daafouz, S. Tarbouriech, and M. Sigalotti (Eds.). Automation, control and industrial engineering series. iSTE - WILEY, 2013, ISBN: 978-1-84821-527-6, Chapter 1.

[4]        M. Farina, G. Ferrari-Trecate, C. Jones, S. Riverso and M. Zeilinger. Scalable MPC Design. Handbook of Model Predictive Control. Birkhauser, Control Engineering, Sasa V. Rakovic and William S. Levine Editors, pp. 259-286.

[5]        M. Farina, R. Scattolini. Distributed MPC for large-scale systems. Handbook of Model Predictive Control. Birkhauser, Control Engineering, Sasa V. Rakovic and William S. Levine Editors, pp. 239-258.

 

Theses

 

[1]         M. Farina. Observer design and parameter identification for mass-action biochemical reaction networks. Supervisor: Prof. S. Bittanti. PhD Thesis, Politecnico di Milano, 2007.

[2]        M. Farina. Il motore solare Dish Stirling: modellistica e controllo. Relatore: Prof. S. Bittanti. Tesi di Laurea, Politecnico di Milano, Giugno 2003.