Full Publications List

 

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Performance Summary
(2) Books, (36) Journal Papers, (28) Conference Papers, (3) Book Chapters

Books

  1. J. Barreiro-Gomez and H. Tembine. Mean-Field-Type Games for Engineers.
    CRC Press Taylor & Francis Group, ISBN/EAN: 0367566125/9780367566128 pp. 528. November, 2021.
  2. J. Barreiro-Gomez. The Role of Population Games in the Design of Optimization-Based Controllers: A Large-scale Insight.
    Springer Cham,  2019. [link]

Journal Publications

  1. J. Barreiro-Gomez, and S. E. Choutri. Data-driven stability of stochastic mean-field type games via non-cooperative neural network adversarial training.
    Asian Journal of Control [accepted and to appear], 2023
  2. J. Barreiro-Gomez. Stochastic Differential Games for Crowd Evacuation Problems: A Paradox.
    ⋆Automatica, 140, 110271, 2022. [link]
  3. A. Ramirez-Jaime, J. Barreiro-Gomez, L. Longas, J. Echeverry-Mejia, and H. Tembine. Positive-Pressure Ventilation: Modeling, Validation, and Stochastic Control of Mean-Field Type.
    ⋆Automatica, 144 (2022), 110472, 2022. [link]
  4. J. Barreiro-Gomez and Quanyan Zhu. Coalitional Stochastic Differential Games for Networks.
    IEEE Control Systems Letters, [Accepted and To Appear], 2022. [link]
  5. Z. El Oula Frihi, S. E. Choutri, J. Barreiro-Gomez and H. Tembine. Hierarchical Mean-Field Type Control of Price Dynamics for Electricity in Smart Grid.
    Journal of Systems Science and Complexity, 35, pages 1–17, 2022. [link]
  6. J. Barreiro-Gomez, S. E. Choutri, and H. Tembine. Risk-Awareness in Multi-Level Building Evacuation with Smoke: Burj Khalifa Case Study.
    ⋆Automatica, 129, 109625, 2021. [link]
  7. J. Barreiro-Gomez, I. Mas, J. I. Giribet, P. Moreno, C. Ocampo-Martinez, R. Sanchez-Peña, N. Quijano. Distributed Data-Driven UAV Formation Control Via Evolutionary Games: Experimental Results.
    Journal of The Franklin Institute, 358(10):5334-5352, 2021. [link]
  8. Z. El Oula Frihi, J. Barreiro-Gomez, S. E. Choutri and H. Tembine. Toolbox to Simulate and Mitigate COVID-19 Propagation
    SoftwareX, 100673, 2021. [link]
  9. B. Djehiche, J. Barreiro-Gomez, and H. Tembine. Price Dynamics for Electricity in Smart Grid Via Mean-Field-Type Games.
    Dynamic Games and Applications, 10, 798–818(2020), 2020 [link]
  10. N. Toumi, J. Barreiro-Gomez, T. Duncan, and H. Tembine. Berge equilibrium in linear-quadratic mean-field-type games.
    Journal of The Franklin Institute, 357(15):10861-10885, 2020. [link]
  11. Z. El Oula Frihi, J. Barreiro-Gomez, S. E. Choutri, and H. Tembine. Hierarchical structures and leadership design in mean-field-type games with polynomial cost.
    Games, 11(3), 30, 2020. [link]
  12. J. Barreiro-Gomez and H. Tembine. A Tutorial on Mean-Field-Type Games and Risk-Aware Controllers.
    Annual Reviews in Control, 50(2020): 317–334, 2020. [link]
  13. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Discrete-Time Linear-Quadratic Mean-Field-Type Repeated Games: Perfect, Incomplete, and Imperfect Information.
    ⋆Automatica, 12(2020):108647, 2020. [link]
  14. J. Barreiro-Gomez, T. E. Duncan, B. Pasik-Duncan, and H. Tembine. Semi-Explicit Solutions to some Non-Linear Non-Quadratic Mean-Field-Type Games: A Direct Method. ⋆IEEE Transactions on Automatic Control, 65(6):2582-2597, 2020. [link]
  15. J. Barreiro-Gomez and H. Tembine. Gain-Scheduled Mean-Field-Type Control for a Non-linear Continuous Stirred Tank Reactor.
    IEEE Access, 8: 97783-97792, 2020. [link]
  16. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Co-opetitive Linear-Quadratic Mean-Field-Type Games.
    ⋆IEEE Transactions on Cybernetics. 50(12):5089-5098, 2020. [link]
  17. M. A. Velasquez, J. Barreiro-Gomez, N. Quijano, A. I. Cadena, and M. Shahidehpour. Intra-Hour Microgrid Economic Dispatch Based on Model Predictive Control.
    ⋆IEEE Transactions on Smart Grid, DOI: 10.1109/TSG.2019.2945692, 2019. [link]
  18. J. Barreiro-Gomez and H. Tembine. Mean-Field-Type Model Predictive Control: An Application to Water Distribution Networks.
    IEEE Access, 7:135332-135339, 2019. [link]
  19. J. Barreiro-Gomez and H. Tembine. A MatLab-based Mean-Field-Type Games Toolbox: Continuous-Time Version.
    IEEE Access, 7:126500-126514, 2019. [link]
  20. M. A. Velasquez, J. Barreiro-Gomez, N. Quijano, A. I. Cadena, and M. Shahidehpour. Distributed Model Predictive Control for Economic Dispatch of Power Systems With High Penetration of Renewable Energy Resources.
    Electrical Power and Energy Systems, 113(2019):607-617, 2019 [link]
  21. J. Barreiro-Gomez, and H. Tembine. Blockchain Token Economics: A Mean-Field-Type Game Perspective
    IEEE Access, 7:64603-64613, 2019 [link]
  22. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Linear-Quadratic Mean-Field-Type Games with Multiple Input Constraints
    IEEE Control Systems Letters (L-CSS), 3(3):511-516, 2019 [link]
  23. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Linear-Quadratic Mean-Field-Type Games: Jump-Diffusion Process with Regime Switching.
    ⋆IEEE Transactions on Automatic Control, 64(10):4329-4336, 2019. [link]
  24. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano.Time-Varying Partitioning for Predictive Control Design: Density-Games Approach.
    Journal of Process Control, 75(2019):1-14, 2019. [link]
  25. J. Barreiro-Gomez, G. Obando, C. Ocampo-Martinez, and N. Quijano. An Evolutionary-Games Approach for Distributed Predictive Control Involving Resource Allocation.
    IET Control Theory & Applications, DOI: 10.1049/iet-cta.2018.5716, 2019. [link]
  26. J. Barreiro-Gomez, C. Ocampo-Martinez, F. Bianchi and N. Quijano. Data-Driven Decentralized Algorithm for Wind Farm Control with Population-Games Assistance.
    Energies    , 12(6), 1164; https://doi.org/10.3390/en12061164 (registering DOI), 2019 [link]
  27. J. Barreiro-Gomez and H. Tembine. Constrained Evolutionary Games by Using a Mixture of Imitation Dynamics.
    ⋆Automatica, 97(2018):254-262, 2018. [link]
  28. L.A. Fletscher, J. Barreiro-Gomez, C. Ocampo-Martinez, C. Valencia Peroni, J. M. Maestre. Atomicity and Non-anonymity in Population-like Games for the Energy Efficiency of Hybrid-power HetNets.
    IEEE Transactions on Network and Service Management, 15(4):1600-1614, 2018. [link]
  29. W. Ananduta, J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. On the Mitigation of Communication Failures in Distributed Model Predictive Control Strategies.
    IET Control Theory & Applications, 12(18):2507-2515, 2018. [link]
  30. J. Barreiro-Gomez, G. Obando, and N. Quijano. Distributed population dynamics: Optimization and control applications.
    IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(2): 304-314, 2017. [link]
  31. J. Barreiro-Gomez, C. Ocampo-Martinez, N. Quijano and J. M. Maestre. Non-centralized control for flow-based distribution networks: A game-theoretical insight. Journal of the Franklin Institute, 354(14): 5771-5796, 2017. [link] 
  32. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Dynamical tuning for MPC using population games: A water supply network application.
    ISA Transactions, 69(2017): 175-186, 2017. [link]
  33. N. Quijano, C. Ocampo-Martinez, J. Barreiro-Gomez, G. Obando, A. Pantoja and E. Mojica-Nava. The role of population games and evolutionary dynamics in distributed control systems.
    IEEE Control Systems, 37(1): 70-97, 2017. [link]
  34. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Constrained distributed optimization: A population dynamics approach.
    ⋆Automatica, 69(2016): 101-116, 2016. [link]
  35. G. Riaño-Briceño, J. Barreiro-Gomez, A. Ramirez-Jaime, N. Quijano and C. Ocampo-Martinez. MatSWMM – An open-source toolbox for designing real-time control of urban drainage systems.
    Environmental Modelling & Software, 83: 143-154, 2016. [link]
  36. L. García, J. Barreiro-Gomez, E. Escobar, D. Téllez, N. Quijano and C. Ocampo-Martinez. Modeling and real-time control of urban drainage systems: A review.
    Advances in Water Resources, 85: 120-132, 2015. [link]

Conference Publications

  1. J. Barreiro-Gomez, S. E. Choutri, and B. Djehiche. Stability Via Adversarial Training of Neural Network Stochastic Control of Mean-Field Type
    ⋆61th IEEE Conference on Decision and Control (CDC), 7547-7552 2022 [link]
  2. J. Barreiro-Gomez, H Tembine, L Stella, D Bauso, and P Colaneri. Risk-Aware Control and Games in Engineering.
    ⋆59th IEEE Conference on Decision and Control (CDC),     3860-3870, 2020 [link]
  3. Z. El Oula Frihi, J. Barreiro-Gomez, S. E. Choutri, B. Djehiche, and H. Tembine. Stackelberg Mean-Field-Type Games with Polynomial Cost.
    21rst IFAC World Congress, 53(2):16920-16925, 2020, Berlin, Germany. [link]
  4. J. Barreiro-Gomez, G. Obando, A. Pantoja, and H. Tembine. Heterogeneous Multi-Population Evolutionary Dynamics with Migration Constraints.
    21rst IFAC World Congress    , 53(2):16852–16857, 2020, Berlin, Germany. [link]
  5. J. Barreiro-Gomez, and H. Tembine. Constrained Mean-Field-Type Games: Stationary Case.
    ⋆58th IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029483, 2019, Nice, France. [link]
  6. J. Barreiro-Gomez, B. Djehiche, T. E. Duncan, B. Pasik-Duncan, and H. Tembine. Fractional Mean-Field-Type Games under Non-Quadratic Costs: A Direct Method.
    ⋆58th IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029496, 2019, Nice, France. [link]
  7. J. Barreiro-Gomez, and H. Tembine. MatLab Toolbox for Linear-Quadratic Mean-Field-Type Games: Version I.
    4th IEEE Colombian Conference on Automatic Control (CCAC), 2019, Medellin, Colombia. (to appear)
  8. J. Barreiro-Gomez, T. E. Duncan, and H. Tembine. Linear-Quadratic Mean-Field-Type Games Applied to Stochastic Predictive Control: A Microgrid Energy Storage Application.
    ⋆    American Control Conference (ACC),     2019, Philadelphia, USA, pp. 3224-3229. [link]
  9. B. Djehiche, J. Barreiro-Gomez, and H. Tembine. Mean-Field-Type Games for Blockchain-Based Distributed Power Networks.
    International Econometric Conference of Vietnam, Beyond Traditional Probabilistic Methods in Economics, 2019, pp. 45-64. [link]
  10. B. Djehiche, J. Barreiro-Gomez, and H. Tembine. Electricity price dynamics in the smart grid: A mean-field-type game perspective. 
    23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2018, Hong Kong, China, pp. 631-636. [link]
  11. J. Barreiro-Gomez, F. Dörfler, and H. Tembine. Distributed and robust population games with applications to optimal frequency control in power systems. 
    ⋆American Control Conference (ACC), 2018, Milwaukee, USA, pp. 5762-5767. [link]
  12. J. Barreiro-Gomez, and H. Tembine. Distributed evolutionary games reaching power indexes: Navigability in a social network of smart objects.
    ⋆European Control Conference (ECC), 2018, Limassol, Cyprus, pp. 1062-1067. [link]
  13. W. Ananduta, J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Resilient information-exchange protocol for distributed model predictive control schemes. 
    ⋆    American Control Conference (ACC)    , 2018, Milwaukee, USA, pp. 1286-1291. [link]
  14. L. A. Fletscher, J. Barreiro-Gomez, C. Ocampo-Martinez, J. M. Maestre, and C. Valencia-Peroni. Energy efficiency of hybrid-power HetNets: A population-like games approach. 
    ⋆    American Control Conference (ACC)    , 2018, Milwaukee, USA, pp. 5750-5755. [link]
  15. J. P. Díaz, J. Barreiro-Gomez, and N. Quijano. A population-games application with the balls-in-tubes experiment.
    IEEE Conference on Control Technology and Applications (CCTA), 2017, 2057-2062. [link]
  16. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. On the communication discussion of two distributed population-game approaches for optimization purposes,
    20th IFAC World Congress    , 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 11782-11787, Elsevier. [link]
  17. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Partitioning for large-scale systems: A sequential distributed MPC design,
    20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 8838-8843, Elsevier. [link]
  18. J. Barreiro-Gomez, I. Mas, C. Ocampo-Martinez, R. Sánchez Peña and N. Quijano. Distributed formation control of multiple unmanned aerial vehicles over time-varying graphs using population games,
    ⋆55th IEEE Conference on Decision and Control (CDC), 2016, Las Vegas, EEUU, pp. 5245-5250, IEEE. [link]
  19. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Distributed MPC with time-varying communication network: A density-dependent population games approach,
    ⋆55th IEEE Conference on Decision and Control (CDC), 2016, Las Vegas, EEUU, pp. 6068-6073. [link]
  20. G. Obando, J. Barreiro-Gomez, and N. Quijano. A class of population dynamics for reaching epsilon-equilibria: Engineering applications,
    ⋆American Control Conference (ACC), 2016, Boston, MA, pp. 4713-4718. [link]
  21. J. Barreiro-Gomez, C. Ocampo-Martinez, F. Bianchi, and N. Quijano. Model-free control for wind farms using a gradient estimation-based algorithm,
    ⋆European Control Conference (ECC), 2015, Linz, Austria, pp. 1516-1521. [link]
  22. J. Barreiro-Gomez, G. Obando, G. Riaño-Briceño, N. Quijano, and C. Ocampo-Martínez. Decentralized control for urban drainage systems via population dynamics: Bogota case study,
    ⋆European Control Conference (ECC), 2015, Linz, Austria, pp. 2426-2431. [link]
  23. J. Barreiro-Gomez, G. Obando, C. Ocampo-Martinez, and N. Quijano. Making non-centralized a model predictive control scheme by using distributed Smith dynamics, 5th IFAC Conference on Nonlinear Model Predictive Control, 2015, Seville, Vol 48:23 of IFAC-PapersOnLine, pp. 501-506, 2015. [link]
  24. G. Riaño-Briceño, A. Ramirez-Jaime, J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Co-simulation for the design of controllers in urban drainage systems,
    2nd IEEE Colombian Conference on Automatic Control, 2015, Manizales, Colombia, pp. 1-6. [link]
  25. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Distributed resource management by using population dynamics: Wastewater treatment application,
    2nd IEEE Colombian Conference on Automatic Control, 2015, Manizales, Colombia, pp. 1-6. [link]
  26. J. Barreiro-Gomez, C. Ocampo-Martinez, J.M. Maestre, and N. Quijano. Multi-objective model-free control based on population dynamics and cooperative games,
    ⋆54th IEEE Conference on Decision and Control (CDC), 2015, Osaka, Japan, pp. 5296-5301. [link]
  27. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Distributed control of drinking water networks using population dynamics: Barcelona case study,
    ⋆53rd IEEE Conference on Decision and Control (CDC), 2014, Los Angeles, pp. 3216-3221. [link]
  28. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Constrained distributed optimization based on population dynamics,
    ⋆53rd IEEE Conference on Decision and Control (CDC), 2014, Los Angeles, pp. 4260-4265. [link]

Book Chapters

  1. J. Gao, Y. Xu, J. Barreiro-Gomez, M. Ndong, M. Smyrnakis and H. Tembine. Distributionally Robust  Optimization.
    Optimization Algorithms, DOI:10.5772/intechopen.76686, 2018.  [link]
  2. J. Barreiro-Gomez, G. Riaño-Briceño, C. Ocampo-Martinez, and N. Quijano. Real-time Monitoring and Operational Control of Drinking-Water Systems, chapter Data-Driven Evolutionary-Game-Based Control for Drinking-Water Networks. Advances in Industrial Control.
    Springer International Publishing, UK, 2017. [link]
  3. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Evolutionary-game-based dynamical tuning for multi-objective model predictive control. In Developments in Model-Based Optimization and Control, 115-138.
    Springer Verlag, 2015. [link]