2022

• 1. W. Ananduta, A. Nedic, and C. Ocampo-Martinez. Distributed augmented Lagrangian method for link-based resource sharing problems of multi-agent systems. IEEE Transactions on Automatic Control, 67(6):3067-3074, 2022. www.doi.org/10.1109/TAC.2021.3092561
• 2. E. Morera-Torres, C. Ocampo-Martinez, and F.D. Bianchi. Experimental-based modelling and optimal torque vectoring control for 4WD vehicles. IEEE Transactions on Vehicular Technology, 71(5):4922-4932, 2022. www.doi.org/10.1109/TVT.2022.3158091
• 3. G. Obando, N. Quijano, and C. Ocampo-Martinez. Decentralized control for urban drainage systems using replicator dynamics. IEEE Access, 10:56740-56762, 2022. www.doi.org/10.1109/ACCESS.2022.3177631
• 4. M.A. Bermeo, C. Ocampo-Martinez and J. Díaz-Rozo. Data-driven energy prediction models targeting both energy efficiency and maintenance in smart manufacturing systems. Energy, 238(B):121691, 2022. www.doi.org/10.1016/j.energy.2021.121691
• 5. J. Martinez-Piazuelo, N. Quijano, and C. Ocampo-Martinez. A payoff dynamics model for equality constrained population games. IEEE Control Systems Letters (L-CSS), 6:530-535, 2022. www.doi.org/10.1109/LCSYS.2021.3082865
• 6. J. Martinez-Piazuelo, N. Quijano, and C. Ocampo-Martinez. A payoff dynamics model for generalised Nash equilibrium seeking in population games. Automatica, 140:110227, 2022. www.doi.org/10.1016/j.automatica.2022.110227
• 7. J. Martinez-Piazuelo, N. Quijano, and C. Ocampo-Martinez. Nash equilibrium seeking in full-potential population games under capacity and migration constraints. Automatica, 141:110285, 2022. www.doi.org/10.1016/j.automatica.2022.110285
• 8. C. Ocampo-Martinez, R. Toro, V. Puig, J. Van Impe, and F. Logist. Multi-objective-based tuning of economic model predictive of drinking water transport networks. Water, 14(8):1222, 2022. www.doi.org/10.3390/w14081222

2022 (In press)

• 1. F. Arque, C. Uribe, and C. Ocampo-Martinez. Approximate Wasserstein attraction flows for dynamic mass transport over networks. Automatica, 2022.
• 2. G. Belgioioso, W. Ananduta, S. Grammatico, and C. Ocampo-Martinez. Operationally-safe peer-to-peer energy trading in distribution grids: A game-theoretic market-clearing mechanism. IEEE Transactions on Smart Grid, 2022. www.doi.org/10.1109/TSG.2022.3158442
• 3. K.M. Balla, C. Shou, J.D. Bendtsen, C. Ocampo-Martinez, and C. Kallesoe. A nonlinear predictive control approach for urban   drainage networks using data-driven reduced models and moving horizon estimation. IEEE Transactions on Control Systems Technology, 2022. www.doi.org/10.1109/TCST.2021.3137712
• 4. J. Martinez, C. Ocampo-Martinez, and N. Quijano. On distributed Nash equilibrium seeking in a class of contractive population games. IEEE Control Systems Letters (L-CSS), 2022.
• 5. J. Martinez-Piazuelo, N. Quijano, and C. Ocampo-Martinez. Decentralized charging coordination of electric vehicles under feeder capacity constraints. IEEE Transactions on Control of Network Systems, 2022. www.doi.org/10.1109/TCNS.2021.3128498

2021

• 1. W. Ananduta and C. Ocampo-Martinez. Event-triggered partitioning for non-centralized predictive control-based economic dispatch of interconnected microgrids. Automatica, 132:109829, 2021. www.doi.org/10.1016/j.automatica.2021.109829
• 2. W. Ananduta, C. Ocampo-Martinez, and A. Nedic. A distributed augmented Lagrangian method over stochastic network for economic dispatch of large-scale energy systems. IEEE Transactions on Sustainable Energy, 2(4):1927-1934, 2021. www.doi.org/10.1109/TSTE.2021.3073510
• 3. L. Levieux, C. Ocampo-Martinez, F. Inthamoussou, and H. De Battista. Predictive management approach for the coordination of wind and water-based power supplies. Energy, 219:119535, 2021. www.doi.org/10.1016/j.energy.2020.119535
• 4. J. Diaz and C. Ocampo-Martinez. Non-centralised control strategies for energy—efficient and flexible manufacturing systems. Journal of Manufacturing Systems, 59:386-397, 2021. www.doi.org/10.1016/j.jmsy.2021.02.004
• 5. M.A. Bermeo, C. Ocampo-Martinez, and J. Diaz-Rozo. Adaptive predictive control for peripheral equipment management to enhance energy efficiency in smart manufacturing systems. Journal of Cleaner Production, 291:125556, 2021. www.doi.org/10.1016/j.jclepro.2020.125556
• 6. M. David, F. Bianchi, C. Ocampo-Martinez, and R. Sanchez-Peña. Model-based control design for H2 purity regulation in high-pressure alkaline electrolyzers. Journal of The Franklin Institute, Institute, 358:4373-4392, 2021. www.doi.org/10.1016/j.jfranklin.2021.04.00
• 7. G. Conde, N. Quijano, and C. Ocampo-Martinez. Modeling and control in open-channel irrigation systems: A review. Annual Reviews in Control, 51:153-171, 2021. www.doi.org/10.1016/j.arcontrol.2021.01.003
• 8. G. Conde, N. Quijano, and C. Ocampo-Martinez. Detection, isolation, and magnitude estimation of unknown flows in open-channel irrigation systems. IEEE Access, 9:115348{115369, 2021.
• 9. J. Barreiro-Gomez, I. Mas, J. Giribet, P. Moreno, C. Ocampo-Martinez, R. Sanchez-Peña, and N. Quijano. Distributed data-driven UAV-formation control via evolutionary games: Experimental results. Journal of The Franklin Institute, 358:5334-5352, 2021. www.doi.org/10.1016/j.jfranklin.2021.05.002
• 10. F. Karimi-Pour, V. Puig, and C. Ocampo-Martinez. Economic model predictive control of nonlinear systems using a linear parameter varying approach. International Journal of Robust and Nonlinear Control, 31(17):8218-8238, 2021. www.doi.org/10.1002/rnc.5477
• 11. J.M. Maestre, F. Lopez-Rodriguez, F. Muros, and C. Ocampo-Martinez. A modular feedback for the control of networked systems by clustering: a drinking water network case study. Processes, 9(2):389, 2021. www.doi.org/10.3390/pr9020389 

2020

• 1. J. Diaz, C. Ocampo-Martinez, and S. Olaru. Dual control strategy for complex and flexible manufacturing systems. Journal of Manufacturing Systems, 56:104-116, 2020. www.doi.org/10.1016/j.jmsy.2020.05.009
• 2. M. David, H. Alvarez, C. Ocampo-Martinez, and R. Sanchez-Peña. Dynamic modelling of alkaline self-pressurized electrolyzers: a phenomenological-based semiphysical approach. International Journal of Hydrogen Energy, 45(43):22394-22407, 2020. www.doi.org/10.1016/j.ijhydene.2020.06.038
• 3. M. Pourasghar, V. Puig, and C. Ocampo-Martinez. Characterisation of interval-observer fault detection and isolation properties using the set-invariance approach. Journal of The Franklin Institute, 357(3):1853-1886, 2020. www.doi.org/10.1016/j.jfranklin.2019.11.027
• 4. M. Pourasghar, V. Puig, and C. Ocampo-Martinez. On robust interval observer design for linear systems subject to both time-invariant and time varying uncertainties. International Journal of Control, 93(11):2577-2595, 2020. www.doi.org/10.1080/00207179.2020.1773526
• 5. Y. Wan, V. Puig, C. Ocampo-Martinez, Y. Wang, E. Harinathd, and R. Braatz. Fault detection for uncertain LPV systems using probabilistic set-membership parity relation. Journal of Process Control, 87:27-36, 2020. www.doi.org/10.1016/j.jprocont.2019.12.010
• 6. W. Ananduta, J.M. Maestre, C. Ocampo-Martinez, and H. Ishii. Resilient distributed model predictive control for energy management of interconnected microgrids. Optimal Control Applications and Methods, 41:146-169, 2020. www.doi.org/10.1002/oca.2534
• 7. Y. Eldigair, F. Garelli, C. Kunusch, and C. Ocampo-Martinez. Adaptive PI control with robust variable structure anti-windup strategy for systems with rate-limited actuators: Application to compression systems. Control Engineering Practice, 96:104282, 2020. www.doi.org/10.1016/j.conengprac.2019.104282
• 8. S. Siniscalchi-Minna, F.D. Bianchi, C. Ocampo-Martinez, J.L. Dominguez, and B. De Schutter. A non-centralized predictive control strategy for wind farm active power control: a wake-based partitioning approach. Renewable Energy, 150:656-669, 2020. www.doi.org/10.1016/j.renene.2019.12.139

2019

• 1. J. Diaz, M. Bermeo, J. Diaz-Rozo, and C. Ocampo-Martinez. An optimization-based control strategy for energy efficiency of discrete manufacturing systems. ISA Transactions, 93:399-409, 2019. www.doi.org/10.1016/j.isatra.2019.03.015
• 2. J. Diaz, C. Ocampo-Martinez, N. Panten, T. Weber, and E. Abele. Optimal operation of combined heat and power systems: An optimization-based control strategy. Energy Conversion and Management, 199:111957, 2019. www.doi.org/10.1016/j.enconman.2019.111957
• 3. J. Diaz and C. Ocampo-Martinez. Energy efficiency in discrete-manufacturing systems: Insight, trends and control strategies. Journal of Manufacturing Systems, 52:131-145, 2019. www.doi.org/10.1016/j.jmsy.2019.05.002
• 4. W. Ananduta, T. Pipia, C. Ocampo-Martinez, J. Sijs, and B. De Schutter. Online partitioning method for decentralized control of linear switching large-scale systems. Journal of The Franklin Institute, 356(6):3290-3313, 2019. www.doi.org/10.1016/j.jfranklin.2018.10.038
• 5. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Time-varying partitioning for predictive control design: Density-games approach. Journal of Process Control, 75:1-14, 2019. www.doi.org/10.1016/j.jprocont.2018.12.011 
• 6. 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, 13(6):772-782, 2019. www.doi.org/10.1049/iet-cta.2018.5716
• 7. J. Barreiro-Gomez, C. Ocampo-Martinez, F. Bianchi, and N. Quijano. Data-driven decentralized algorithm for wind farms control with population-games assistance. Energies, 12(6):1164, 2019. www.doi.org/10.3390/en12061164
• 8. S. Siniscalchi-Minna, F.D. Bianchi, M. De-Prada-Gil, and C. Ocampo-Martinez. A wind farm control strategy for power reserve maximization. Renewable Energy, 131:37-44, 2019. www.doi.org/10.1016/j.renene.2018.06.112 
• 9. M. Pourasghar, C. Combastel, V. Puig, and C. Ocampo-Martinez. FD-ZKF: A zonotopic Kalman filter optimizing fault detection rather than state estimation. Journal of Process Control, 73:89-102, 2019. www.doi.org/10.1016/j.jprocont.2018.12.003
• 10. M. Pourasghar, V. Puig, and C. Ocampo-Martinez. Interval observer versus set-membership approaches for fault detection in uncertain systems using zonotopes. International Journal of Robust and Nonlinear Control, 29(10):2819-2843, 2019. www.doi.org/10.1002/rnc.4523
• 11. M. Pourasghar, V. Puig, and C. Ocampo-Martinez.  Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach. International Journal of Systems Science, 50(3):495-516, 2019. www.doi.org/10.1080/00207721.2018.1563221
• 12. M. David, C. Ocampo-Martinez, and R. Sánchez Peña. Advances in alkaline water electrolyzers: A review. Journal of Energy Storage, 23:392-403, 2019. www.doi.org/10.1016/j.est.2019.03.001

2018

• 1. C. Ocampo-Martinez, R. Sánchez-Peña, F. Bianchi, and A. Ingimundarson. Data-driven fault diagnosis and robust control: Application to PEM fuel cell systems. International Journal of Robust and Nonlinear Control, 28(12):3713-3727, 2018. www.doi.org/10.1002/rnc.3820
• 2. 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. www.doi.org/10.1049/iet-cta.2018.5044
• 3. L. Fletscher, J. Barreiro, C. Ocampo-Martinez, J.M. Maestre, and C. Valencia. 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. www.doi.org/10.1109/TNSM.2018.2879450
• 4. F. Tedesco, C. Ocampo-Martinez, A. Cassavola, and V. Puig. Centralised and distributed command governor approaches for the operational control of drinking water networks. IEEE Transactions on Systems, Man & Cybernetics: Systems, 48(4):586-595, 2018. www.doi.org/10.1109/TSMC.2016.2612361
• 5. F. Karimi-Pour, V. Puig, and C. Ocampo-Martinez. Multi-layer health-aware economic predictive control of a pasteurization pilot plant. International Journal of Applied Mathematics and Computer Science, 28(1):97-110, 2018. www.doi.org/10.2478/amcs-2018-0007
• 6. Z. Baroud, A. Benalia, and C. Ocampo-Martinez. Robust fuzzy sliding mode control for air supply on PEM fuel cell system. International Journal of Modelling, Identification and Control, 29(4):341-351, 2018. www.doi.org/10.1504/IJMIC.2018.092123
• 7. S. Farahani, S. Soudjani, R. Majumdar, and C. Ocampo-Martinez. Formal controller synthesis for Barcelona wastewater system with signal temporal logic constraints. Journal of Process Control, 69:179-191, 2018. www.doi.org/10.1016/j.jprocont.2018.05.011
• 8. F.J. Muros, J.M. Maestre, C. Ocampo-Martinez, E. Algaba, and E.F. Camacho. A game theoretical randomized method for large-scale systems partitioning. IEEE Access, 6(1):42245-42263, 2018. www.doi.org/10.1109/ACCESS.2018.2854783
• 9. Z. Baroud, A. Benalia, and C. Ocampo-Martinez. Algebraic observer-based output-feedback controller design for a PEM fuel cell air-supply subsystem. IET Renewable Power Generation, 12(14):1714-1721, 2018. www.doi.org/10.1049/iet-rpg.2018.5421

2017

• 1. J. Diaz, C. Ocampo-Martinez, and H.D. Alvarez. Nonlinear moving horizon estimator for online estimation of the density and viscosity of a mineral slurry. Industrial & Engineering Chemistry Research, 56(49):14592-14603, 2017. www.doi.org/10.1021/acs.iecr.7b04393
• 2. J. Lopez-Sanz, C. Ocampo-Martinez, J. Alvarez-Florez, M. Moreno, R. Ruiz-Mansilla, J. Kalmus, M. Graber, and G. Lux. Thermal management in plug-in hybrid electric vehicles: a real-time nonlinear model predictive control implementation. IEEE Transactions on Vehicular Technology, 66(9):7751-7760, 2017. www.doi.org/10.1109/TVT.2017.2678921
• 3. F. Xu, V. Puig, C. Ocampo-Martinez, and X. Wang. Set-valued observer-based active fault-tolerant model predictive control. Optimal Control, Applications and Methods, 38(5):683-708, 2017. www.doi.org/10.1002/oca.2284
• 4. J.M. Grosso and C. Ocampo-Martinez and V. Puig. A distributed predictive control approach for periodic flow-based networks: Application to drinking water systems. International Journal of Systems Science, 48(14):3106-3117, 2017. www.doi.org/10.1080/00207721.2017.1367051
• 5. 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. www.doi.org/10.1016/j.jfranklin.2017.06.021
• 6. J. Lopez-Sanz, C. Ocampo-Martinez, J. Alvarez-Florez, M. Moreno Eguilaz, R. Ruiz-Mansilla, J. Kalmus, M. Graber, and G. Lux. Nonlinear model predictive control for thermal management in plug-in hybrid electric vehicles. IEEE Transactions on Vehicular Technology, 66(5):3632-3644, 2017. www.doi.org/10.1109/TVT.2016.2597242
• 7. J. Barreiro-Gomez, C. Ocampo-Martinez, and N. Quijano. Dynamical tuning for multi-objective model predictive control based on population games. ISA Transactions, 69:175-186, 2017. ISA Transactions Best Paper Award 2017 www.doi.org/10.1016/j.isatra.2017.03.027
• 8. C. Ocampo-Martinez and N. Quijano. Game-theoretical methods in control of engineering systems. IEEE Control Systems Magazine, 37(1):30-32, 2017. www.doi.org/10.1109/MCS.2016.2621403
• 9. 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 Magazine, 37(1):70-97, 2017. www.doi.org/10.1109/MCS.2016.2621479
• 10. M. Serra, C. Ocampo-Martinez, M. Li, and J. Llorca. Model predictive control for ethanol steam reformers with membrane separation. International Journal of Hydrogen Energy, 42(4):1949-1961, 2017. www.doi.org/10.1016/j.ijhydene.2016.10.110
• 11. M. Solsona, C. Kunusch, and C. Ocampo-Martinez. Control-oriented model of a membrane humidifier for fuel cell applications. Energy Conversion and Management, 137(1):121-129, 2017. www.doi.org/10.1016/j.enconman.2017.01.036
• 12. F. Xu, V. Puig, C. Ocampo-Martinez, S. Olaru, and S. Niculescu. Robust fault-tolerant predictive control with passive fault detection and active fault isolation. International Journal of Applied Mathematics and Computer Science, 27(1):43-61, 2017. www.doi.org/10.1002/rnc.3627
• 13. F. Xu, S. Olaru, V. Puig, C. Ocampo-Martinez, and S. Niculescu. Sensor-fault tolerance using robust MPC with set-based state estimation and active fault isolation. International Journal on Robust and Nonlinear Control, 27(8):1260-1283, 2017. www.doi.org/10.1002/rnc.3627
• 14. J.M. Grosso, P. Velarde, C. Ocampo-Martinez, J.M. Maestre, and V. Puig. Stochastic model predictive control approaches applied to drinking water networks. Optimal Control, Applications and Methods, 38(4):541-558, 2017. www.doi.org/10.1002/oca.2269
• 15. Z. Baroud, M. Benmiloud, A. Benalia, and C. Ocampo-Martinez. Novel hybrid fuzzy-PID control scheme for air supply in PEM fuel-cell-based systems. International Journal of Hydrogen Energy, 42(15):10435-10447, 2017. www.doi.org/10.1016/j.ijhydene.2017.01.014
• 16. P. Velarde, L. Valverde, J.M. Maestre, and C. Ocampo-Martinez and C. Bordons. On the comparison of stochastic model predictive control strategies applied to a hydrogen-based micro-grid. Journal of Power Sources, 343:161-173, 2017. www.doi.org/10.1016/j.jpowsour.2017.01.015

2016

• 1. D. Robles, V. Puig, C. Ocampo-Martinez, and L.E. Garza. Reliable fault-tolerant model predictive control of drinking water transport networks. Control Engineering Practice, 55:197-211, 2016. www.doi.org/10.1016/j.conengprac.2016.06.014
• 2. G. Riaño-Briceño, J. Barreiro-Gomez, A. Ramirez-Jaime, N. Quijano, and C. Ocampo-Martinez. MatSWMM - An open-source software tool for designing real-time control strategies in urban drainage systems. Environmental Modelling and Software, 83:143-154, 2016. www.doi.org/10.1016/j.envsoft.2016.05.009
• 3. J. M. Grosso, C. Ocampo-Martinez, and V. Puig. Reliability-based economic model predictive control for generalised flow-based networks including health-aware capabilities. International Journal of Applied Mathematics and Computer Science, 26(3):641-654, 2016. www.doi.org/10.1515/amcs-2016-0044
• 4. Y. Wang, C. Ocampo-Martinez, and V. Puig. Stochastic model predictive control based on Gaussian processes applied to drinking water networks. IET Journal on Control Theory and Applications, 10(8):947-955, 2016. www.doi.org/10.1049/iet-cta.2015.0657
• 5. J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Constrained distributed optimization: A population dynamics approach. Automatica, 69:101-116, 2016. www.doi.org/10.1016/j.automatica.2016.02.004
• 6. I. Jurado, J.M. Maestre, P. Velarde, I. Fernández, C. Ocampo-Martinez, B. Isla-Tejera, and J.R. del Prado. Stock management in hospital pharmacy using chance-constrained model predictive control. Computers in Biology and Medicine, 72:248-255, 2016. www.doi.org/10.1016/j.compbiomed.2015.11.011

2015

• 1. A. Nuñez, C. Ocampo-Martinez, J.M. Maestre-Torreblanca, and B. De Schutter. Time-varying scheme for non-centralized model predictive control of large-scale systems. Mathematical Problems in Engineering, V2015:1-17, 2015. www.doi.org/10.1155/2015/560702
• 2. B. Joseph-Duran, C. Ocampo-Martinez, and G. Cembrano. Output-feedback control of combined sewer networks through receding horizon control with moving horizon estimation. Water Resources Research, 51(10):8129-8145, 2015. www.doi.org/10.1002/2014WR016696 
• 3. L. García, J. Barreiro-Gómez, E. Escobar, D. Téllez, N. Quijano, and C. Ocampo-Martinez. Modeling, real-time control and safe operation of urban drainage systems: A review. Advances in Water Research, 85:120-132, 2015. www.doi.org/10.1016/j.advwatres.2015.08.007 
• 4. C. Kunusch, C. Ocampo-Martinez, and M.I. Valla. Modeling, diagnosis and control of fuel-cell-based technologies and their integration in smart-grids and automotive systems. IEEE Transactions on Industrial Electronics, 62(8):5143-5145, 2015. www.doi.org/10.1109/TIE.2015.2440212 
• 5. J. Luna, C. Ocampo-Martinez, and M. Serra. Nonlinear predictive control for the concentrations profile regulation under unknown reaction disturbances in a fuel cell anode gas channel. Journal of Power Sources, 282:129-139, 2015. www.doi.org/10.1016/j.jpowsour.2015.02.033 
• 6. F. Bianchi, C. Ocampo-Martinez, C. Kunusch, and R. Sanchez-Peña. Fault-tolerant unfalsified control for PEM fuel cell systems. IEEE Transactions on Energy Conversion, 30(1):307-315, 2015. www.doi.org/10.1109/TEC.2014.2351838 
• 7. F. Xu, V. Puig, C. Ocampo-Martinez, S. Olaru, and F. Stoican. Set-theoretic methods in robust detection and isolation of sensor faults. International Journal of Systems Science, 46(13):2317-2334, 2015. www.doi.org/10.1080/00207721.2014.989293 
• 8. J.D. Rojas, C. Kunusch, C. Ocampo-Martinez, and V. Puig. Control-oriented thermal modeling methodology for water cooled PEM fuel cell based systems. IEEE Transactions on Industrial Electronics, 62(8):5146-5154, 2015. www.doi.org/10.1109/TIE.2015.2405332

2014

• 1. B. Joseph-Duran, C. Ocampo-Martinez, and G. Cembrano. Hybrid modeling and receding horizon control of sewer networks. Water Resources Research, 50(11):8497-8514, 2014. www.doi.org/10.1002/2013WR015119
• 2. F. Xu, V. Puig, C. Ocampo-Martinez, F. Stoican, and S. Olaru. Actuator-fault detection and isolation based on set-theoretic approaches. Journal of Process Control, 24(6):947-956, 2014. www.doi.org/10.1016/j.jprocont.2014.04.016
• 3. J. Grosso, C. Ocampo-Martinez, V. Puig, and B. Joseph. Chance-constrained model predictive control for large-scale networks. Journal of Process Control, 24(5):504-516, 2014. www.doi.org/10.1016/j.jprocont.2014.01.010 
• 4. F. Bianchi, C. Kunusch, C. Ocampo-Martinez, and R. Sanchez-Peña. A gain-scheduled LPV control for oxygen stoichiometry regulation in PEM fuel cell systems. IEEE Transactions on Control Systems Technology, 2014. www.doi.org/10.1109/TCST.2013.2288992 
• 5. B. Joseph-Duran, M. Jung, C. Ocampo-Martinez, S. Sager, and G. Cembrano. Minimization of sewage network overflow. Water Resources Management, 28(1):41-63, 2014. www.doi.org/10.1007/s11269-013-0468-z 
• 6. S. Tornil, C. Ocampo-Martinez, V. Puig, and T. Escobet. Robust fault diagnosis of non-linear systems using interval constraint satisfaction and analytical redundancy relations. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 44(1):18-29, 2014. www.doi.org/10.1109/TSMC.2013.2238924

2013

• 1. J.M. Grosso, C. Ocampo-Martinez, and V. Puig. Learning-based tuning of supervisory model predictive control for drinking water networks. Engineering Applications of Artificial Intelligence, 26(7):1741-1750, 2013. www.doi.org/10.1016/j.engappai.2013.03.003
• 2. J. Romera, C. Ocampo-Martinez, V. Puig, and J. Quevedo. Flooding management using hybrid model predictive control: Application to the Spanish Ebro river. Journal of Hydroinformatics, 15(2):366-380, 2013. www.doi.org/10.2166/hydro.2012.164
• 3. C. Ocampo-Martinez, V. Puig, G. Cembrano, and J. Quevedo. Application of predictive control strategies to the management of complex networks in the urban water cycle. IEEE Control Systems Magazine, 33(1):15-41, 2013. www.doi.org/10.1109/MCS.2012.2225919

2012

• 1. C. Ocampo-Martinez, D. Barcelli, V. Puig, and A. Bemporad. Hierarchical and decentralised model predictive control of drinking water networks: Application to Barcelona case study. IET Control Theory & Applications, 6(1):62-71, 2012. www.doi.org/10.1049/iet-cta.2010.0737
• 2. S. Tornil-Sin, C. Ocampo-Martinez, V. Puig, and T. Escobet. Robust fault detection of nonlinear systems using set-membership state estimation based on constraint satisfaction. Engineering Applications of Artificial Intelligence, 25(1):1-10, 2012. www.doi.org/10.1016/j.engappai.2011.07.007
• 3. D. Recio-Garrido, C. Ocampo-Martinez, and M. Serra-Prat. Design of optimization-based controllers applied to an ethanol steam reformer for hydrogen production. International Journal of Hydrogen Energy, 37(15):11141-11156, 2012. www.doi.org/10.1016/j.ijhydene.2012.04.117

2011

• 1. C. Ocampo-Martinez, S Bovo, and V Puig. Partitioning approach oriented to the decentralised predictive control of large-scale systems. Journal of Process Control, 21(5):775-786, 2011. www.doi.org/10.1016/j.jprocont.2010.12.005 
• 2. A. Niknezhadi, M. Allue-Fantova, C. Kunusch, and C. Ocampo-Martinez. Design and implementation of LQR/LQG strategies for oxygen stoichiometry control in PEM fuel cells based systems. Journal of Power Sources, 196(9):4277-4282, 2011. www.doi.org/10.1016/j.jpowsour.2010.11.059 

2010

• 1. C. Ocampo-Martinez and V. Puig. Piece-wise linear functions-based model predictive control of large-scale sewage systems. IET Control Theory & Applications, 4(9):1581-1593, 2010. www.doi.org/10.1049/iet-cta.2009.0206 
• 2. C. Ocampo-Martinez, J.A. De Dona, and M. Seron. Actuator fault-tolerant control based on set separation. International Journal of Adaptive Control and Signal Processing, 24(12):1070-1090, 2010. www.doi.org/10.1002/acs.1181 

2007 - 2009

• 1. C. Ocampo-Martinez and V. Puig. Fault-tolerant model predictive control in the hybrid systems framework: Application to sewer networks. International Journal of Adaptive Control & Signal Processing, 23(8):757-787, 2009. www.doi.org/10.1002/acs.1099
• 2. C. Ocampo-Martinez, A. Ingimundarson, V. Puig, and J. Quevedo. Objective prioritization using lexicographic minimizers for MPC of sewer networks. IEEE Transactions on Control Systems Technology, 16(1):113-121, 2008. www.doi.org/10.1109/TCST.2007.899741
• 3. C. Ocampo-Martinez, P. Guerra, V. Puig, and J. Quevedo. Actuator fault tolerance evaluation of linear constrained MPC using zonotope-based set computations. Journal of Systems & Control Engineering, 221(6):915-926, 2007. www.doi.org/10.1243/09596518JSCE340

2006

• 1. C. Ocampo-Martinez, V. Puig, J. Quevedo, and A. Ingimundarson. Fault-tolerant optimal control of sewer networks: Barcelona case study. International Journal of Measurement and Control, 39(5):151-156, 2006. www.doi.org/10.1177/002029400603900502
• 2. F. Angulo, C. Ocampo-Martinez, G. Olivar, and R. Ramos. Nonlinear and non-smooth dynamics in a DC-DC buck converter: Two experimental set-ups. Nonlinear Dynamics, 46(3):239-257, 2006. www.doi.org/10.1007/s11071-006-9046-8 

Divulgation Papers

• 1. C. Ocampo-Martinez, D. Patiño and N. Quijano. The IEEE Colombian Conference on Automatic Control 2017. IEEE Control Systems, 38(2):106-109, 2018
• 2. V. Puig, C. Ocampo-Martinez, G. Cembrano, J. Quevedo, R. Creus and M. Minoves. Mejorar la eficiencia utilizando técnicas de control predictivo. Automática e Instrumentación, 437:39-41, 2012

Non-JCR Papers

• 1. A. Alzate-Ibañez, C. Ocampo-Martinez, C. Cardona-Alzate, and V.M. Trejos. Risk index to monitor an anaerobic digester using a dynamic model based on dilution rate, temperature, and pH. Nonlinear Engineering, 9(1):35-50, 2020. www.doi.org/10.1515/nleng-2018-0055
• 2. Z. Baroud, A. Benalia, and C. Ocampo-Martinez. Air flow regulation in fuel cells: An efficient design of hybrid fuzzy-PID control. Electrotehnica, Electronica, Automatica (EEA), 64(4):28-32, 2016.
• 3. C. Ocampo-Martinez, V. Puig, G. Cembrano, R. Creus, and M. Minoves. Improving water management efficiency by using optimization-based control strategies: the Barcelona Water Science & Technology: Water Supply, 9(5):565-575, 2009. www.doi.org/10.2166/ws.2009.524
• 4. V. Puig, J. Quevedo, T. Escobet, B. Morcego, and C. Ocampo-Martinez. Control tolerante a fallos (parte I): Fundamentos y diagnostico de fallos. Tutorial. RIAI: Revista Iberoamericana de Automática e Informática Industrial, 1(1):15-31, 2004. www.doi.org/10.4995/riai.2004.8021
• 5. V. Puig, J. Quevedo, T. Escobet, B. Morcego, and C. Ocampo-Martinez. Control tolerante a fallos (parte II): Mecanismos de tolerancia y sistema supervisor. Tutorial. RIAI : Revista Iberoamericana de Automática e Informática Industrial, 1(2):5-12, 2004.
• 6. F Angulo, F Prieto, G Osorio, and C. Ocampo-Martinez. Control de un motor DC paralelo con técnicas geométricas diferenciales. DYNA: Revista de la Facultad de Minas, National University of Colombia, 69(135):29-37, 2002.