Publications
[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.
[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.
[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.
[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.