Research line

Automatic Control Image

The AUTOMATIC CONTROL line develops basic and applied research in automatic control, with special emphasis on modelling, control and supervision of nonlinear, complex and/or large-scale systems.
The group has acquired specific expertise in the application of advanced control techniques to environmental resources management, specifically in the water and energy fields.

Head of line: Maria Serra Prat

Head of line

Tech. transfer

Our activity finds applications in several fields through collaboration with our technological partners.

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Research projects

We carry out projects from the European FP7 and others national and international research programmes.
→ More about our research projects

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Modelling and control of complex nonlinear systems

In order to design controllers for complex nonlinear systems, it is fundamental to have mathematical models of the systems' dynamic behaviour. Regarding dynamic modelling of complex nonlinear systems, the Control Group focuses on four subjects: models for multidomain systems using PHS formulation; distributed parameter models and their order reduction; experimental characterisation techniques combining the use of time and frequency responses of the dynamic system, conceived as diagnosis tools; the design of observers to be integrated in the control systems in order to improve the system performance and minimise the number of sensors. Regarding control system design, the work is based on the following advanced control techniques: passivity-based control, Optimal Control, Model Predictive Control, Variable Structure Control (VSC) and Linear Parameter Varying (LPV)-Robust Control.

Research area 1 of Automatic Control

Modelling and control of large-scale networked systems

In automation, it is more and more frequent to deal with large scale networked systems which are composed by a multitude of elements of diverse dynamical nature. Obtaining a mathematical model oriented to the management and control of such systems should take into account their real time operation and complex topology. Moreover, complementary considerations such as physical constraints, hybrid behaviour and bounded disturbances are also challenging topics in the study of this kind of systems.

Research area 2 of Automatic Control

Design and implementation of decision-support tools for resources management systems with multiple, heterogeneous constraints

A large variety of real-time resource allocation problems dealing with long- and medium-term resources management typically appear in public services and industry. Some examples are water management (both surface and pipeline systems), energy generation and distribution, and environmental planning. The operation of these systems requires dealing with multiple, heterogeneous constraints. Not just physical constraints are to be met, but also those imposed by regulations, operational practices, economy, ecology, etc. The overall aim is to step away from the classical trial-and-error-based simulation approach and create real problem-solving tools for optimal management of large-scale resources management problems.

Research area 3 of Automatic Control

Real-time Supervisory Control, Fault Diagnosis and Fault-Tolerance

Reliability is a feature required in modern control systems which implies the introduction of fault diagnosis and fault tolerant control modules that allow to know in real-time if there is any non-desired behaviour (fault) and activate some remedial action in order to keep the system in operation (fault tolerance). Complementary aspects as sensor/actuator location for achieving the desired fault diagnosis and tolerance are also addressed.

Research area 4 of Automatic Control

Applied Research

Theoretical knowledge is applied in real cases, in close collaboration with industry. Currently, research is mainly focused on four fields: modelling and control of systems based on Proton Exchange Membrane Fuel Cells based systems; modelling, control and management of electrical networks; design of optimal operational management of networked systems related to the urban water cycle and sensor data validation/reconstruction of instrumentation systems. The Control Group gives primary importance to the tasks of implementation and experimental validation of the proposed control and modelling methodologies. These final stages of the control design process are developed either in the industry or at the Institute's Laboratories: the Fuel Cells Laboratory and the Water Cycle Control Systems Lab.

Research area 5 of Automatic Control

These are the latest research projects of the Automatic Control research line:

These are the most recent publications (2018 - 2017) of the Automatic Control

  • C. Ocampo-Martínez, 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, 2018, to appear.

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  • R. Busqué, R. Torres, J. Grau, V. Roda and A.P. Husar. Mathematical modeling, numerical simulation and experimental comparison of the desorption process in a metal hydride hydrogen storage system. International Journal of Hydrogen Energy, 2018, to appear.

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  • J. Carroquino, V. Roda, R. Mustata, J. Yago, L. Valiño, A. Lozano and F. Barreras. Combined production of electricity and hydrogen from solar energy and its use in the wine sector. Renewable Energy, 122: 251-263, 2018.

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  • S. Siniscalchi, F. Bianchi and C. Ocampo-Martínez. Predictive control of wind farms based on lexicographic minimizers for power reserve maximization, 2018 American Control Conference, 2018, Milwaukee, USA, to appear.

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  • W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Resilient information-exchange protocol for distributed model predictive control schemes, 2018 American Control Conference, 2018, Milwaukee, USA, to appear.

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  • L.A. Fletscher, J. Barreiro-Gomez, C. Ocampo-Martínez, J.M. Maestre and C. Valencia. Energy efficiency of hybrid-power HetNets: A population-like games approach, 2018 American Control Conference, 2018, Milwaukee, USA, to appear.

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  • F. Muros, J.M. Maestre, C. Ocampo-Martínez, E. Algaba and E. Fernández. Partitioning of large-scale systems using game-theoretic coalitional methods, 2018 European Control Conference, 2018, Cyprus, to appear.

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  • X. Corbella, V. Roda, R. Torres and A.P. Husar. Design of an ejector for a hydrogen recirculation system for a PEM fuel cell, 2018 European Hydrogen Energy Conference, 2018, , to appear.

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  • F. Karimi, V. Puig and C. Ocampo-Martínez. 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.

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  • C. Ocampo-Martínez, D. Patiño and N. Quijano. Conference report: The IEEE Colombian conference on automatic control 2017. IEEE Control Systems, 38(2): 106-109, 2018.

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  • T. Péan, J. Salom and R. Costa Castelló. Review of control strategies for improving the energy flexibility provided by heat pump systems in buildings. Journal of Process Control, 2018, to appear.

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  • R. Costa Castelló, N. Carrero, S. Dormido and E. Fossas. Teaching, analyzing, designing and interactively simulating sliding mode control. IEEE Access, 6(1): 16783-16794, 2018.

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  • F. Tedesco, C. Ocampo-Martínez, A. Cassavola and V. Puig. Centralised and distributed command governor approaches for water supply systems management. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(4): 586-596, 2018.

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  • Z. Baroud, M. Benmiloud, A. Benalia and C. Ocampo-Martínez. 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.

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  • Y. Wang, V. Puig and G. Cembrano. Non-linear economic model predictive control of water distribution networks. Journal of Process Control, 56: 23-34, 2017.

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  • Y. Wang, T. Álamo, V. Puig and G. Cembrano. Distributed zonotopic set-membership state estimation based on optimization methods with partial projection, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 4039-4044, Elsevier.

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  • P. Segovia, L. Rajaoarisoa, E. Duviella, J. Blesa, F. Nejjari, V. Puig and K. Horváth. Fault detection and isolation in flat navigation canals, 4th International Conference on Control, Decision and Information Technologies, 2017, Barcelona, pp. 427-432.

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  • J.A. Luna, E. Usai, A.P. Husar and M. Serra. Enhancing the efficiency and lifetime of a proton exchange membrane fuel cell using nonlinear model predictive control with nonlinear observation. IEEE Transactions on Industrial Electronics, 64(8): 6649-6659, 2017.

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  • Y. Wang, M. Zhou, V. Puig, G. Cembrano and Z. Wang. Zonotopic fault detection observer with H_ performance, 36th Chinese Control Conference, 2017, Dalian, China, pp. 7230-7235.

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  • Y. Wang, Z. Wang, V. Puig and G. Cembrano. Zonotopic fault estimation filter design for discrete-time descriptor systems, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 5055-5060, Elsevier.

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  • R. Pérez, J. Cugueró, G. Sanz, M. Cugueró and J. Blesa. Leak monitoring. In Real-time Monitoring and Operational Control of Drinking-Water Systems, 115-130. Springer, 2017.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez 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.

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  • R. Busqué, R. Torres, J. Grau, V. Roda and A.P. Husar. Effect of metal hydride properties in hydrogen absorption through 2D-axisymmetric modeling and experimental testing in storage canisters. International Journal of Hydrogen Energy, 42(30): 19114-19125, 2017.

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  • Y. Wang, J. Blesa and V. Puig. Robust periodic economic predictive control based on interval arithmetic for water distribution networks, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 5202–5207, Elsevier.

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  • R. Sarrate, F. Nejjari and J. Blesa. Sensor placement for monitoring. In Real-time Monitoring and Operational Control of Drinking-Water Systems, 153-173. Springer, 2017.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez 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.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez, 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.

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  • Y. Wang, J.R. Salvador, D. Muñoz de la Peña, V. Puig and G. Cembrano. Periodic nonlinear economic model predictive control with changing horizon for water distribution networks, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 6588–6593, Elsevier.

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  • P. Segovia, L. Rajaoarisoa, E. Duviella, F. Nejjari, J. Blesa and V. Puig. Multiple integrator zero delay model for flat canals impacted by resonance phenomena, 14th European Workshop on Advanced Control and Diagnosis, 2017, Bucarest, Rumania, to appear.

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  • S. Farahani, S. Zadeh, R. Majumdar and C. Ocampo-Martínez. Robust model predictive control with signal temporal logic constraints for Barcelona wastewater system, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 6594-6600, Elsevier.

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  • M.G. Carignano, R. Costa Castelló, V. Roda, N.M. Nigro, S. Junco and D. Feroldi. Energy management strategy for fuel cell-supercapacitor hybrid vehicles based on prediction of energy demand. Journal of Power Sources, 360: 419-433, 2017.

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  • Y. Wang, G. Cembrano, V. Puig, M. Urrea, J. Romera, D. Saporta, J. Valero and J. Quevedo. Optimal management of Barcelona water distribution network using non-linear model predictive control, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 5380–5385, Elsevier.

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  • E. Codres, J. Blesa, M. Martinez and A. Stancu. Computing an inner approximation of the viability kernel using guaranteed integration tubes, 10th Summer Workshop on Interval Methods, 2017, Manchester, UK.

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  • J. Lopez-Sanz, C. Ocampo-Martínez, J. Alvarez-Florez, M. Moreno-Eguilaz, R. Ruiz-Mansilla, J. Kalmus, M. Gräeber 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.

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  • V. Sanz, R. Costa Castelló and German A. Ramos. Different architectures to develop repetitive controllers, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 13048-13413, Elsevier.

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  • R. Costa Castelló and S. Strahl. Temperature control of open-cathode PEM fuel cells, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 11088-11093, Elsevier.

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  • G. Cembrano, V. Puig, C. Ocampo-Martínez, M. Minoves and R. Creus. Model predictive control of water networks considering flow. In Real-Time Monitoring and Operational Control of Drinking-Water Systems, 227-249. Springer, 2017.

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  • 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.

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  • F. Xu, V. Puig, C. Ocampo-Martínez, S. Olaru and S. Niculescu. Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation. International Journal of Applied Mathematics and Computer Science, 27(1): 43-61, 2017.

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  • V. Sanz and T. Namerikawa. Hierarchical and cooperative model predictive control of electrical grids by using overlapping information, 2017 IEEE Conference on Control Technology and Applications, 2017, Kohala Coast, Hawai'i, pp. 2144-2149.

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  • R. Costa Castelló and J.A. Luna. Observación de la fracción de agua líquida en pilas de combustible tipo PEM de cátodo abierto, XXXVIII Jornadas de Automática, 2017, Gijón, pp. 108-114, CEA.

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  • J.M. Grosso, C. Ocampo-Martínez and V. Puig. Stochastic model predictive control for water transport networks with demand forecast uncertainty. In Real-Time Monitoring and Operational Control of Drinking-Water Systems, 269-290. Springer, 2017.

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  • F. Xu, S. Olaru, V. Puig, C. Ocampo-Martínez and S. Niculescu. Sensor-fault tolerance using robust MPC with set-based state estimation and active fault isolation. International Journal of Robust and Nonlinear Control, 27(8): 1260–1283, 2017.

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  • V. Sanz, R. Costa Castelló and C. Batlle. Combined heat and power using high temperature proton exchange membrane fuel cells for comfort applications, XV Simposio CEA de Ingeniería de Control, 2017, Salamanca, pp. 29-33.

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  • J.M. Grosso, C. Ocampo-Martínez 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.

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  • P. Martínez, M. Serra and R. Costa Castelló. Modeling and control of HTPEMFC based combined heat and power for confort control, 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017, Limassol, Cyprus, pp. 1-6.

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  • V. Puig, C. Ocampo-Martínez, D. Robles and L.E. Garza. Fault-tolerant model predictive control of water transport networks. In Real-Time Monitoring and Operational Control of Drinking-Water Systems, 291-319. Springer, 2017.

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  • J.M. Grosso, P. Velarde, C. Ocampo-Martínez, 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.

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  • F. Karimi, V. Puig and C. Ocampo-Martínez. Comparative assessment of LPV-based predictive control strategies for a pasteurization plant, 4th International Conference on Control, Decision and Information Technologies, 2017, Barcelona, pp. 821-826.

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  • M.L. Sarmiento-Carnevali, M. Serra and C. Batlle. Distributed parameter model-based control of water activity and concentration of reactants in a polymer electrolyte membrane fuel cell. International Journal of Hydrogen Energy, 42(42): 26389-26407, 2017.

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  • R. Mascaró, R. Costa Castelló and German A. Ramos. Iterative learning control experimental results in twin-rotor device. Mathematical Problems in Engineering, 2017: 6519497, 2017.

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  • C. Ocampo-Martínez and V. Puig. Partitioning approaches for large-scale water transport networks. In Real-Time Monitoring and Operational Control of Drinking-Water Systems, 321-339. Springer, 2017.

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  • N. Quijano, C. Ocampo-Martínez, 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.

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  • M. Pourasghar, V. Puig, C. Ocampo-Martínez and Q. Zhang. Reduced-order Interval-observer design for dynamic systems with time-invariant uncertainty, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 6271-6276, Elsevier.

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  • F. Serri, M. Serra and R. Costa Castelló. Experimental thermal model of a high temperature fuel cell stack, 6th Iberian Symposium on Hydrogen, Fuel Cells and Advanced Batteries, 2017, Porto, Portugal.

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  • J.L. Diaz, C. Ocampo-Martínez and H. Alvarez. Nonlinear moving horizon estimator for online estimation of the density and viscosity of a mineral slurry. Industrial and Engineering Chemistry Research, 56(49): 14592–14603, 2017.

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  • J.M. Grosso, C. Ocampo-Martínez and V. Puig. Non-centralized predictive control for drinking-water supply systems. In Real-Time Monitoring and Operational Control of Drinking-Water Systems, 341-360. Springer, 2017.

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  • J. Lopez-Sanz, C. Ocampo-Martínez, J. Alvarez-Florez, M. Moreno-Eguilaz, R. Ruiz-Mansilla, J. Kalmus, M. Gräeber 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.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez and N. Quijano. Dynamical tuning for MPC using population games: A water supply network application. ISA Transactions, 69(2017): 175-186, 2017.

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  • E. Delgado, M. Serra and A.P. Husar. Modelización y gestión térmica de una pila de combustible SOFC, 3rd Iberoamerican Congress on Hydrogen and Fuel Cells, 2017, Huesca, Spain, pp. 107-110.

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  • C. Sun, B. Joseph, T. Maruejouls, G. Cembrano, E. Muñoz, J. Meseguer, A. Montserrat, S. Sampe, V. Puig and X. Litrico. Efficient integrated model predictive control of urban drainage systems using simplified conceptual quality models, 14th IWA/IAHR International Conference on Urban Drainage, 2017, Prague, pp. 1848-1855.

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  • J. Barreiro-Gomez, G. Riaño-Briceño, C. Ocampo-Martínez and N. Quijano. Data-driven evolutionary-game-based control for drinking-water networks. In Real-Time Monitoring and Operational Control of Drinking-Water Systems, 363-383. Springer, 2017.

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  • V. Puig, C. Ocampo-Martínez, R. Pérez, G. Cembrano, J. Quevedo, T. Escobet (editors). Real-time Monitoring and Operational Control of Drinking-Water Systems. Volume of Advances in Industrial Control. Springer, 2017.

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  • A.R. Kodak, M. Pourasghar, V. Puig, S. Olaru, C. Ocampo-Martínez and V. Reppa. Observer-based sensor fault detectability: About robust positive invariance approach and residual sensitivity, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 5041-5046, Elsevier.

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  • F. Xu, V. Puig, C. Ocampo-Martínez and X. Wang. Set-valued observer-based active fault-tolerant model predictive control. Optimal Control Applications and Methods, 38(5): 683–708, 2017.

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  • M. Nassourou, V. Puig and J. Blesa. Robust optimization based energy dispatch in smart grids considering simultaneously multiple uncertainties: Load demands and energy prices, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 6755-6760, Elsevier.

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  • C. Sun, B. Joseph, T. Maruejouls, G. Cembrano, E. Muñoz, J. Meseguer, A. Montserrat, S. Sampe, V. Puig and X. Litrico. Conceptual quality modelling and integrated control of combined urban drainage system, 12th IWA Conference on Instrumentation, Control and Automation, 2017, Quebec, pp. 141-148.

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  • M. Serra, C. Ocampo-Martínez, 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.

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  • A. Soldevila, R.M. Fernandez-Cantí, J. Blesa, S. Tornil-Sin and V. Puig. Leak localization in water distribution networks using Bayesian classifiers. Journal of Process Control, 55: 1-9, 2017.

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  • S.X. Ubach, J.L. Diaz, C. Ocampo-Martínez and M. Antunez. Peak shaving through closed-loop optimization applied to machine tools with periodic behaviour, 3rd IEEE Colombian Conference on Automatic Control, 2017, Cartagena, pp. 1-7.

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  • A. Soldevila, S. Tornil-Sin, J. Blesa, R.M. Fernandez-Cantí and V. Puig. Leak localization in water distribution networks using pressure models and classifiers. In Modeling and Monitoring of Pipelines and Networks, 191-212. Springer, 2017.

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  • S. Siniscalchi, F. Bianchi, C. Ocampo-Martínez and M. De Prada. A wind farm operational strategy for primary frequency support optimization, 2017 Wind Europe Conference and Exhibition, 2017, Amsterdam, pp. PO.061.

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  • P. Velarde, L. Valverde, J.M. Maestre, C. Ocampo-Martínez and C. Bordons. On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid. Journal of Power Sources, 343: 161-173, 2017.

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  • U. Raveendran Nair and R. Costa Castelló. An overview of micro-grid architecture with hybrid storage elements and its control, XV Simposio CEA de Ingeniería de Control, 2017, Salamanca, pp. 17-23.

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  • C. Ibáñez, C. Ocampo-Martínez and B. González. Embedded optimization-based controllers for industrial processes, 3rd IEEE Colombian Conference on Automatic Control, 2017, Cartagena, pp. 1-6.

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  • A. Soldevila, J. Blesa, S. Tornil-Sin, R.M. Fernandez-Cantí and V. Puig. Sensor placement for classifier-based leak localization in water distribution networks. In Modeling and Monitoring of Pipelines and Networks, 213-233. Springer, 2017.

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  • O.R. Llerena, C. Ocampo-Martínez, M. Serra and J.L. Silveira. Dynamic analysis of an ethanol steam reformer for hydrogen production, 3rd IEEE Colombian Conference on Automatic Control, 2017, Cartagena, pp. 1-5.

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  • C. Ocampo-Martínez and N. Quijano. Game-theoretical methods in control of engineering systems: An introduction to the special issue. IEEE Control Systems, 37(1): 30-32, 2017.

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  • C. Sun, B. Joseph, T. Maruejouls, G. Cembrano, J. Meseguer, V. Puig and X. Litrico. Real-time control-oriented quality modelling in combined urban drainage networks, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 3941-3946, Elsevier.

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  • J. Sandoval-Moreno and C. Ocampo-Martínez. Performance of MV distributed energy power systems under model-predictive control and conventional power systems state estimators, 3rd IEEE Colombian Conference on Automatic Control, 2017, Cartagena, pp. 1-6.

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  • M. Nassourou, V. Puig, J. Blesa and C. Ocampo-Martínez. Economic model predictive control for energy dispatch of a smart microgrid system, 4th International Conference on Control, Decision and Information Technologies, 2017, Barcelona, pp. 944-949.

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  • L.A. Caiza, A. Rosich, C. Ocampo-Martínez and D. Benitez. Reducing energy consumption in an industrial process by using model predictive control, 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, 2017, Ixtapa, Mexico , pp. 1-6, IEEE.

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  • M. Solsona, C. Kunusch and C. Ocampo-Martínez. Control-oriented model of a membrane humidifier for fuel cell applications. Energy Conversion and Management, 137(1): 121-129, 2017.

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  • C. Sun, G. Cembrano and V. Puig. Coordinating regional and urban water networks. In Real-time Monitoring and Operational Control of Drinking-Water Systems, 385-400. Springer International Publishing, 2017.

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  • Z. Baroud, A. Benalia and C. Ocampo-Martínez. Nonlinear observer design for PEM fuel-cell systems using first-order sliding mode techniques, 2nd International Conference on Automatic Control, Telecommunication and Signals, 2017, Annaba, Algeria, to appear.

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  • E. Sanz, J.L. Matey, J. Blesa and V. Puig. Advanced monitoring of an industrial process integrating several sources of information through a data warehouse, 4th International Conference on Control, Decision and Information Technologies, 2017, Barcelona, pp. 521-526.

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Fuel Cell Control Laboratory

The objective of the Laboratory is the validation and testing of control strategies of fuel cell based energy conversion systems. The facilities are equipped with a supervisor system which monitors necessary safety conditions. Each of the five fuel cell test stations is equipped with the necessary sensors and actuators to be able to operate in a safe and automated way, as well as to modify the working conditions that affect a fuel cell (humidity, temperature, flow, etc.).

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Research area 1 of Automatic Control

Water-cycle Control Systems Laboratory

The aim of this laboratory is to test and validate modelling and control developments for dynamic systems associated to the water cycle. Hence, it provides platforms of pressure, flow and level processes, over which it is possible to implement real-time advanced control strategies. This laboratory is also open to offer services to other teams in the research community.

Research area 2 of Automatic Control
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