Publications

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Articles published in international journals

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[J1]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, G. Soncin, "Modeling and feedback control for resource allocation and performance analysis in container terminals", IEEE Transactions on Intelligent Transportation Systems, vol. 9, no. 4, pp. 601-614, 2008, DOI:10.1109/TITS.2008.2006737.
[J2]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, G. Soncin, "Management of logistics operations in intermodal terminals by using dynamic modelling and nonlinear programming", Maritime Economics and Logistics, vol. 11, no. 1, pp. 58-76, 2009, DOI:10.1057/mel.2008.24.
[J3]
A. Alessandri, R. Bolla, M. Gaggero, M. Repetto, "Modeling and identification of nonlinear dynamics for freeway traffic by using information from a mobile cellular network", IEEE Transactions on Control Systems Technology, vol. 17, no. 4, pp. 952-959, 2009, DOI:10.1109/TCST.2009.2014242.
[J4]
M. Parodi, M. Gaggero, M. Storace, "Piecewise linear approximations of multivariate functions: A multiresolution-based compression algorithm suitable for circuit implementation", Applied Numerical Mathematics, vol. 60, no. 9, pp. 924-933, 2010, DOI:10.1016/j.apnum.2010.05.002.
[J5]
A. Alessandri, M. Baglietto, G. Battistelli, M. Gaggero, "Moving-horizon state estimation for nonlinear systems using neural networks", IEEE Transactions on Neural Networks, vol. 22, no. 5, pp. 768-780, 2011, DOI:10.1109/TNN.2011.2116803.
[J6]
A. Alessandri, M. Gaggero, F. Tonelli, "Min-max and predictive control for the management of distribution in supply chains", IEEE Transactions on Control Systems Technology, vol. 19, no. 5, pp. 1075-1089, 2011, DOI:10.1109/TCST.2010.2076283.
[J7]
G. Gnecco, M. Sanguineti, M. Gaggero, "Suboptimal solutions to team optimization problems with stochastic information structure", SIAM Journal on Optimization, vol. 22, no. 1, pp. 212-243, 2012, DOI:10.1137/100803481.
[J8]
A. Alessandri, M. Gaggero, R. Zoppoli "Feedback optimal control of distributed parameter systems by using finite-dimensional approximation schemes", IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 6, pp. 984-996, 2012, DOI:10.1109/TNNLS.2012.2192748.
[J9]
C. Cervellera, M. Gaggero, D. Maccio, "Efficient kernel models for learning and approximate minimization problems", Neurocomputing, vol. 97, pp. 74-85, 2012, DOI:10.1016/j.neucom.2012.04.023.
[J10]
M. Gaggero, G. Gnecco, M. Sanguineti, "Dynamic programming and value-function approximation in sequential decision problems: error analysis and numerical results", Journal of Optimization Theory and Applications, vol. 156, no. 2, pp. 380-416, 2013, DOI:10.1007/s10957-012-0118-2.
[J11]
A. Alessandri, C. Cervellera, M. Gaggero, "Predictive control of container flows in maritime intermodal terminals", IEEE Transactions on Control Systems Technology, vol. 21, no. 4, pp. 1423-1431, 2013, DOI:10.1109/TCST.2012.2200680.
[J12]
C. Cervellera, M. Gaggero, D. Maccio, "Low-discrepancy sampling for approximate dynamic programming with local approximators", Computers and Operations Research, vol. 43, pp. 108-115, 2014, DOI:10.1016/j.cor.2013.09.006.
[J13]
M. Gaggero, G. Gnecco, M. Sanguineti, "Approximate dynamic programming for stochastic N-stage optimization with application to optimal consumption under uncertainty", Computational Optimization and Applications, vol. 58, no. 1, pp. 31-85, 2014, DOI:10.1007/s10589-013-9614-z.
[J14]
L. Caviglione, M. Gaggero, J.-F. Lalande, W. Mazurczyk, M. Urbanski, "Seeing the unseen: revealing mobile malware hidden communications via energy consumption and artificial intelligence", IEEE Transactions on Information Forensics and Security, vol. 11, no. 4, pp. 799-810, 2016, DOI:10.1109/TIFS.2015.2510825.
[J15]
M. Gaggero, L. Caviglione, "Predictive control for energy-aware consolidation in cloud datacenters", IEEE Transactions on Control Systems Technology, vol. 24, no. 2, pp. 461-474, 2016, DOI:10.1109/TCST.2015.2457874.
[J16]
L. Caviglione, M. Gaggero, E. Cambiaso, M. Aiello, "Measuring the energy consumption of cyber security", IEEE Communications Magazine, vol. 55, no. 7, pp. 58-63, 2017, DOI:10.1109/MCOM.2017.1600955.
[J17]
A. Alessandri, M. Gaggero, "Fast moving horizon state estimation for discrete-time systems using single and multi iteration descent methods", IEEE Transactions on Automatic Control, vol. 62, no. 9, pp. 4499-4511, 2017, DOI:10.1109/TAC.2017.2660438.
[J18]
C. Cervellera, M. Gaggero, D. Maccio, "Lattice point sets for state sampling in approximate dynamic programming", Optimal Control Applications and Methods, vol. 38, no. 6, pp. 1193-1207, 2017, DOI:10.1002/oca.2325.
[J19]
M. Gaggero, L. Caviglione, "Model predictive control for energy-efficient, quality-aware, and secure virtual machine placement", IEEE Transactions on Automation Science and Engineering, vol. 16, no. 1, pp. 420-432, 2019, DOI:10.1109/TASE.2018.2826723.
[J20]
A. Cataliotti, C. Cervellera, V. Cosentino, D. Di Cara, M. Gaggero, D. Maccio, G. Marsala, A. Ragusa, G. Tine, "An improved load flow method for MV networks based on LV load measurements and estimations", IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 2, pp. 430-438, 2019, DOI:10.1109/TIM.2018.2847818.
[J21]
M. Gaggero, D. Di Paola, A. Petitti, L. Caviglione, "When time matters: predictive mission planning in cyber-physical scenarios", IEEE Access, vol. 7, no. 1, pp. 11246-11257, 2019, DOI:10.1109/ACCESS.2019.2892310.
[J22]
A. Alessandri, P. Bagnerini, M. Gaggero, "Optimal control of propagating fronts by using level set methods and neural approximations", IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 3, pp. 902-912, 2019, DOI:10.1109/TNNLS.2018.2853195.
[J23]
A. Alessandri, P. Bagnerini, M. Gaggero, D. Lengani, D. Simoni, "Dynamic mode decomposition for the inspection of three-regime separated transitional boundary layers using a least squares method", Physics of Fluids, vol. 31, no. 4, art. no. 044103, pp. 1-13, 2019, DOI:10.1063/1.5086225.
[J24]
A. Alessandri, P. Bagnerini, R. Cianci, M. Gaggero, "Optimal propagating fronts using Hamilton-Jacobi equations", Mathematics, vol. 7, no. 11, art. no. 1122, pp. 1-10, 2019, DOI:10.3390/math7111122.
[J25]
A. Alessandri, M. Gaggero, "Fast moving horizon state estimation for discrete-time systems with linear constraints", International Journal of Adaptive Control and Signal Processing, vol. 34, no. 6, pp. 706-720, 2020, DOI:10.1002/acs.3054.
[J26]
A. Alessandri, P. Bagnerini, M. Gaggero, A. Rossi, "State and observer-based feedback control of normal flow equations", Automatica, vol. 117, art. no. 108980, pp. 1-7, 2020, DOI:10.1016/j.automatica.2020.108980.
[J27]
L. Caviglione, M. Gaggero, "Multiobjective placement for secure and dependable smart industrial environments", IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 1298-1306, 2021, DOI:10.1109/TII.2020.2978771.
[J28]
A. Alessandri, P. Bagnerini, M. Gaggero, L. Mantelli, "Parameter estimation of fire propagation models using level set methods", Applied Mathematical Modelling, vol. 92, pp. 731-747, 2021, DOI:10.1016/j.apm.2020.11.030.
[J29]
A. Alessandri, P. Bagnerini, M. Gaggero, D. Lengani, D. Simoni, "Detection of flow regime transitions using dynamic mode decomposition and moving horizon estimation", IEEE Transactions on Control Systems Technology, vol. 29, no. 3, pp. 1324-1331, 2021, DOI:10.1109/TCST.2019.2956027.
[J30]
M. Gaggero, F. Tonelli, "A two-step optimization model for the distribution of perishable products", Networks, in press, DOI:10.1002/net.22008.
[J31]
L. Caviglione, M. Gaggero, M. Paolucci, R. Ronco, "Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters", Soft Computing, in press, DOI:10.1007/s00500-020-05462-x.
[J32]
A. Alessandri, P. Bagnerini, M. Gaggero, L. Mantelli, V. Santamaria, A. Traverso, "Black-box modeling and optimal control of a two-phase flow using level set methods", IEEE Transactions on Control Systems Technology, in press, DOI:10.1109/TCST.2021.3067444.
[J33]
L. Cassettari, M. Gaggero, S. Saccaro, "Optimization of gas metering maintenance services: a multiobjective vehicle routing problem with a set of predefined overlapping time windows", Networks, in press, DOI:10.1002/net.22044.

Chapters in monographic books

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[BC1]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, "Nonlinear model predictive control for resource allocation in the management of intermodal container terminals", in L. Magni et al. (Eds.): Nonlinear Model Predictive Control - Towards New Challenging Applications, Lecture Notes in Control and Information Sciences, vol. 384, pp. 205-213, Springer-Verlag Berlin Heidelberg, 2009, DOI:10.1007/978-3-642-01094-1_16.
[BC2]
M. Gaggero, G. Gnecco, M. Sanguineti, "Suboptimal policies for stochastic N-stage optimization problems: accuracy analysis and a case study from optimal consumption", in F. El Ouardighi and K. Kogan (Eds.): Models and Methods in Economics and Management Science, International Series in Operations Research and Management Science, vol. 198, pp. 27-50, Springer International Publishing Switzerland, 2014, DOI:10.1007/978-3-319-00669-7_3.
[BC3]
L. Caviglione, M. Gaggero, J.-F. Lalande, W. Mazurczyk, "Understanding information hiding to secure communications and to prevent exfiltration of mobile data", in M. Migliardi, A. Merlo, S. Al-Haj Baddar (Eds.): Adaptive Mobile Computing: Advances in Processing Mobile Data Sets, Series Intelligent Data-Centric Systems, pp. 185-202, Academic Press, Boston, 2017, DOI:10.1016/B978-0-12-804603-6.00009-7.
[BC4]
A. Alessandri, P. Bagnerini, R. Cianci, M. Gaggero, "Optimal control of level sets generated by the normal flow equation", in C. Klingenberg and M. Westdickenberg (Eds.): Theory, Numerics and Applications of Hyperbolic Problems I, Springer Proceedings in Mathematics and Statistics, vol. 236, pp. 29-41, Springer International Publishing Switzerland, 2018, DOI:10.1007/978-3-319-91545-6_3.
[BC5]
C. Cervellera, M. Gaggero, D. Maccio, "A receding horizon approach for berth allocation based on random search optimization", in M. Paolucci, A. Sciomachen, and P. Uberti (Eds.): Advances in Optimization and Decision Science for Society, Services and Enterprises, AIRO Springer Series, Springer Nature Switzerland AG, 2019, DOI:10.1007/978-3-030-34960-8_1.

Articles invited for presentation at international conferences

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[IC1]
A. Alessandri, P. Bagnerini, M. Gaggero, "Optimal control of PDE-based systems by using a finite-dimensional approximation scheme", Proceedings of the 2013 American Control Conference, Washington, USA, 2013, pp. 1280-1285, invited paper, DOI:10.1109/ACC.2013.6580012.
[IC2]
A. Alessandri, P. Bagnerini, M. Gaggero, "Optimal control of level sets dynamics", Proceedings of the 2014 American Control Conference, Portland, USA, 2014, pp. 2208-2213, invited paper, DOI:10.1109/ACC.2014.6859223.
[IC3]
A. Alessandri, M. Gaggero, "Moving-horizon estimation for discrete-time linear and nonlinear systems using the gradient and Newton methods", Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, USA, 2016, pp. 2906-2911, invited paper, DOI:10.1109/CDC.2016.7798702.
[IC4]
A. Alessandri, P. Bagnerini, M. Gaggero, "Extended Kalman filtering to design optimal controllers of fronts generated by level set methods", Proceedings of the 55th IEEE Conference on Decision and Control, Las Vegas, USA, 2016, pp. 3966-3971, invited paper, DOI:10.1109/CDC.2016.7798869.
[IC5]
A. Alessandri, P. Bagnerini, M. Gaggero, "Parameter identification of the normal flow equation by using adaptive estimation", Proceedings of the 2017 American Control Conference, Seattle, USA, 2017, pp. 3177-3182, invited paper, DOI:10.23919/ACC.2017.7963436.
[IC6]
A. Alessandri, P. Bagnerini, M. Gaggero, A. Rossi, "Feedback control on the velocity field and source term of a normal flow equation", Proceedings of the 2018 American Control Conference, Milwaukee, USA, 2018, pp. 1714-1719, invited paper, DOI:10.23919/ACC.2018.8431729.
[IC7]
A. Alessandri, P. Bagnerini, M. Gaggero, D. Lengani, D. Simoni, "Moving horizon trend identification based on switching models for data driven decomposition of fluid flows", Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, USA, 2018, pp. 2138-2143, invited paper, DOI:10.1109/CDC.2018.8619006.
[IC8]
A. Alessandri, P. Bagnerini, C. Carmeli, M. Gaggero, D. Lengani, D. Simoni, "On-line mode decomposition of fluid flows using moving horizon estimation", Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, 2019, pp 2163-2168, invited paper, DOI:10.1109/CDC40024.2019.9029204.
[IC9]
A. Odetti, M. Bibuli, G. Bruzzone, C. Cervellera, R. Ferretti, M. Gaggero, E. Zereik, M. Caccia, "A preliminary experiment combining marine robotics and citizenship engagement using imitation learning", Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020, IFAC-PapersOnLine vol. 53, no. 2, pp. 14576-14581, invited paper, DOI::10.1016/j.ifacol.2020.12.1464.

Articles presented at international conferences

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[C1]
M. Gaggero, M. Parodi, M. Storace, "Multiresolution PWL approximations", Proceedings of the European Conference on Circuit Theory and Design, Cork, Ireland, 2005, vol. 3, pp. 393-396, DOI:10.1109/ECCTD.2005.1523143.
[C2]
A. Alessandri, R. Bolla, M. Gaggero, M. Repetto, "Identification of freeway traffic dynamics using fluid and black-box nonlinear models", Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, USA, 2007, pp. 2962-2967, DOI:10.1109/CDC.2007.4434450.
[C3]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, "Nonlinear model predictive control for resource allocation in the management of intermodal container terminals", Proceedings of the 3rd International Workshop on Assessment and Future Directions of Nonlinear Model Predictive Control (NMPC2008), Pavia, Italy, 2008.
[C4]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, "Nonlinear predictive control for the management of container flows in maritime intermodal terminals", Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico, 2008, pp. 2800-2805, DOI:10.1109/CDC.2008.4739146.
[C5]
C. Cervellera, M. Cuneo, M. Gaggero, F. Tonelli, "A decision support tool based on a queueing model for performance analysis and optimization of container terminals", Proceedings of the 2010 Annual Conference of the International Association of Maritime Economists (IAME2010), Lisbon, Portugal, 2010.
[C6]
M. Gaggero, G. Gnecco, M. Sanguineti, "Suboptimal solutions to team optimization problems with statistical information structure", 24th European Conference on Operational Research (EUROXXIV), Lisbon, Portugal, 2010.
[C7]
A. Alessandri, R. Cianci, M. Gaggero, R. Zoppoli, "Approximate solution of feedback optimal control problems for distributed parameter systems", Proceedings of the 8th IFAC Symposium on Nonlinear Control Systems (NOLCOS2010), Bologna, Italy, 2010, pp. 987-992, DOI:10.3182/20100901-3-IT-2016.00197.
[C8]
A. Alessandri, P. Bagnerini, M. Gaggero, M. Ghio, R. Martinelli, "Design specifications of an UAV for environmental monitoring, safety, video surveillance, and urban security", 1st Euro-Mediterranean Summit on New Technologies for Urban Security (SAFECITY2011), Genoa, Italy, 2011.
[C9]
A. Alessandri, M. Gaggero, F. Tonelli, "Integer tree-based search and mixed-integer optimal control of distribution chains", Proceedings of the 50th IEEE Conference on Decision and Control, Orlando, USA, 2011, pp. 489-494, DOI:10.1109/CDC.2011.6160626.
[C10]
A. Alessandri, P. Bagnerini, M. Gaggero, M. Ghio, R. Martinelli, "UAVs for urban security: a successful testbed for emergency support", 2nd Euro-Mediterranean Summit on New Technologies for Urban Security, Civil Protection and Sustainable Development (SAFECITY2012), Genoa, Italy, 2012.
[C11]
A. Alessandri, P. Bagnerini, M. Gaggero, M. Ghio, "Optimal control of level set dynamics via a finite-dimensional approximation scheme", 14th International Conference on Hyperbolic Problems: Theory, Numerics, Applications (HYP2012), Padua, Italy, 2012.
[C12]
A. Alessandri, M. Gaggero, F. Tonelli, "Optimal and predictive control of distribution chains by using integer tree-based search and mixed-integer programming", 4th IFAC Nonlinear Model Predictive Control Conference (NMPC2012), Noordwijkerhout, The Netherlands, 2012, pp. 238-244, DOI:10.3182/20120823-5-NL-3013.00043.
[C13]
M. Gaggero, G. Gnecco, T. Parisini, M. Sanguineti, R. Zoppoli, "Approximation structures with moderate complexity in functional optimization and dynamic programming", Proceedings of the 51th IEEE Conference on Decision and Control, Maui, USA, 2012, pp. 1902-1908, DOI:10.1109/CDC.2012.6426656.
[C14]
C. Cervellera, M. Gaggero, D. Maccio, R. Marcialis, "Quasi-random sampling for approximate dynamic programming", Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN2013), Dallas, USA, 2013, pp. 2567-2574, DOI:10.1109/IJCNN.2013.6707065.
[C15]
C. Cervellera, M. Gaggero, D. Maccio, "An analysis based on F-discrepancy for sampling in regression tree learning", Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN2014), Beijing, China, 2014, pp. 1115-1121, DOI:10.1109/IJCNN.2014.6889665.
[C16]
C. Cervellera, M. Gaggero, D. Maccio, R. Marcialis, "Lattice sampling for efficient learning with Nadaraya-Watson local models", Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN2014), Beijing, China, 2014, pp. 1915-1922, DOI:10.1109/IJCNN.2014.6889758.
[C17]
C. Cervellera, M. Gaggero, D. Maccio, R. Marcialis, "An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models", Proceedings of the 2014 International Joint Conference on Neural Networks (IJCNN2014), Beijing, China, 2014, pp. 1856-1863, DOI:10.1109/IJCNN.2014.6889794.
[C18]
A. Alessandri, M. Gaggero, F. Tonelli, "Robust predictive control for the management of multi-echelon distribution chains", Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, USA, 2014, pp. 6459-6464, DOI:10.1109/CDC.2014.7040402.
[C19]
M. Gaggero, L. Caviglione, "A predictive control approach for energy-aware consolidation of virtual machines in cloud computing", Proceedings of the 53rd IEEE Conference on Decision and Control, Los Angeles, USA, 2014, pp. 5308-5313, DOI:10.1109/CDC.2014.7040219.
[C20]
N. Bianchi, C. Cervellera, M. Gaggero, R. Marcialis, M. Penco, F. Sozzi, "Group model building and computational intelligence tools for stakeholder engagement and deliberative processes", Proceedings of the 3rd International Symposium on Advances in Business Management - Towards Systemic Approach, Perugia, Italy, 2015, pp. 53-57.
[C21]
M. Gaggero, F. Tonelli, "Optimal control of distribution chains for perishable goods", Proceedings of the 15th IFAC Symposium on Information Control in Manufacturing (INCOM2015), Ottawa, Canada, 2015, IFAC-PapersOnLine vol. 48, no. 3, pp. 1049-1054, DOI:10.1016/j.ifacol.2015.06.222.
[C22]
C. Cervellera, M. Gaggero, D. Maccio, R. Marcialis, "Lattice point sets for efficient kernel smoothing models", Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN2015), Killarney, Ireland, 2015, pp. 1277-1284, DOI:10.1109/IJCNN.2015.7280469.
[C23]
C. Cervellera, M. Gaggero, D. Maccio, R. Marcialis, "Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming", Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN2015), Killarney, Ireland, 2015, pp. 1895-1902, DOI:10.1109/IJCNN.2015.7280552.
[C24]
M. Gaggero, L. Caviglione, "Model predictive control for the placement of virtual machines in cloud computing applications", Proceedings of the 2016 American Control Conference, Boston, USA, 2016, pp. 1987-1992, DOI:10.1109/ACC.2016.7525210.
[C25]
D. Di Paola, M. Gaggero, A. Petitti, L. Caviglione, "Optimal control of time instants for task replanning in robotic networks", Proceedings of the 2016 American Control Conference, Boston, USA, 2016, pp. 1993-1998, DOI:10.1109/ACC.2016.7525211.
[C26]
A. Alessandri, P. Bagnerini, M. Gaggero, A. Traverso, "Further results on the optimal control of fronts generated by level set methods", Proceedings of the 2016 American Control Conference, Boston, USA, 2016, pp. 5225-5230, DOI:10.1109/ACC.2016.7526488.
[C27]
A. Alessandri, P. Bagnerini, M. Gaggero, "Optimal control for level set methods involved in PDE systems", XVI International Conference on Hyperbolic Problems: Theory, Numerics, Applications (HYP2016), Aachen, Germany, 2016.
[C28]
A. Alessandri, M. Gaggero, "Moving horizon state estimation for constrained discrete-time systems by using fast descent methods", Proceedings of the 56th IEEE Conference on Decision and Control, Melbourne, Australia, 2017, pp. 2176-2181, DOI:10.1109/CDC.2017.8263967.
[C29]
A. Alessandri, P. Bagnerini, M. Gaggero, L. Mantelli, V. Santamaria, A. Traverso, "Black-box modeling and optimal control of a two-phase flow by using Navier-Stokes equations and level set methods", Proceedings of the 2018 American Control Conference, Milwaukee, USA, 2018, pp. 3429-3434, DOI:10.23919/ACC.2018.8431680.
[C30]
M. Bibuli, G. Bruzzone, M. Caccia, C. Cervellera, R. Ferretti, M. Gaggero, A. Odetti, E. Zereik, M. Viviani, M. Altosole, "Evolution of autonomous surface vehicles", Proceedings of the 19th International Conference on Computer and IT Applications in the Maritime Industries (COMPIT2020), Pontignano, Italy, 2020, pp. 26-37.
[C31]
C. Cervellera, M. Gaggero, D. Maccio. "Policy optimization for berth allocation problems", Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN2021), in press, 2021.

Chapters in national books

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[NB1]
A. Alessandri, M. Baglietto, G. Battistelli, M. Gaggero, "Reti neurali per la stima dello stato di sistemi dinamici non lineari", in CNR.IT - Highlights 2010/2011, p. 167, CNR Edizioni, 2012.

Articles presented at national conferences

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[NC1]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, A.F. Grassia, G. Soncin, "Model-based control of container handling in intermodal terminals for performance optimization", XXXVIII Annual Conference of the Italian Operational Research Society (AIRO) 2007, Genoa, Italy, 2007.
[NC2]
A. Alessandri, R. Bolla, M. Gaggero, M. Repetto, "Identification of nonlinear dynamics for freeway traffic by using information from a mobile cellular network", Annual Meeting SIDRA 2007, Genoa, Italy, 2007.
[NC3]
A. Alessandri, C. Cervellera, M. Cuneo, M. Gaggero, A.F. Grassia, G. Soncin, "Predictive control of container flows in intermodal terminals", Annual Meeting SIDRA 2007, Genoa, Italy, 2007.
[NC4]
M. Gaggero, G. Gnecco, M. Sanguineti, "Decentralized optimization problems with cooperating decision makers", XXXXI Annual Conference of the Italian Operational Research Society (AIRO) 2010, Villa San Giovanni, Italy, 2010.
[NC5]
G. Gnecco, M. Sanguineti, M. Gaggero, "Approximate dynamic programming by variable-basis schemes: Error analysis and numerical results", VI Winter Conference of the Italian Operational Research Society (AIRO) 2011, Cortina d'Ampezzo, Italy, 2011.
[NC6]
M. Gaggero, G. Gnecco, M. Sanguineti, R. Zoppoli, "Dynamic programming and value-function approximation with application to optimal consumption", XXXXIII Annual Conference of the Italian Operational Research Society (AIRO) 2012, Vietri sul Mare, Italy, 2012.
[NC7]
A. Alessandri, M. Baglietto, G. Battistelli, M. Gaggero, "Moving-horizon state estimation for nonlinear systems using neural networks", AUTOMATICA.IT-2012, Annual Meeting SIDRA 2012, Benevento, Italy, 2012.
[NC8]
C. Cervellera, M. Gaggero, D. Maccio, "A receding horizon approach for berth allocation based on random search optimization", International Conference on Optimization and Decision Science, XLIX Annual Conference of the Italian Operational Research Society (AIRO), Genoa, Italy, 2019.

Other publications

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[O1]
G. Bozza, M. Gaggero, "Analisi e progetto assistito da calcolatore di multiporte lineari a tratti", thesis for the B.S. degree in electronic engineering of the University of Genoa, 2003, in italian.
[O2]
M. Gaggero, "Identificazione di sistemi dinamici non lineari tramite modelli lineari a tratti", thesis for the M.S. degree in electronic engineering of the University of Genoa, 2005, in italian.
[O3]
M. Gaggero, "Feedback optimal control of systems described by partial differential equations", thesis for the Ph.D. degree in mathematical engineering and simulation of the University of Genoa, 2010.