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

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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 (2017 - 2016) of the Automatic Control

  • 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. 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, 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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  • 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, to appear.

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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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  • 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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  • 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. 6, to appear.

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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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  • 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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  • 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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  • 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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  • 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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  • 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, 2017, to appear.

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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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  • U. Reija, R. Torres and M. Serra. Modeling a high temperature PEM fuel cell focusing on its thermal behavior, 2017 Iberian Symposium on Hydrogen, Fuel Cells and Advanced Batteries, 2017, Porto, Portugal.

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

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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.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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  • 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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  • 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, to appear.

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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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  • 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, to appear.

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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, 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, to appear.

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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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  • 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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  • 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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  • 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, 2017, to appear.

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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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  • 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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  • 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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  • 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, 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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  • 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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  • 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, 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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  • 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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  • 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, 2017, to appear.

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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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  • 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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  • 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, 2017, to appear.

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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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  • 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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  • 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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  • 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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  • 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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  • 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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  • M. Torchio, C. Ocampo-Martínez, L. Magni, M. Serra, R. Braatz and D. Raimondo. Fast model predictive control for hydrogen outflow regulation in ethanol steam reformers, 2016 American Control Conference, 2016, Boston, MA, pp. 5044-5049.

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  • J. Barreiro-Gomez, N. Quijano and C. Ocampo-Martínez. Distributed MPC with time-varying communication network: A density-dependent population games approach, 55th IEEE Conference on Decision and Control, 2016, Las Vegas, EEUU, pp. 6068-6073, IEEE.

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  • D. Rotondo, F. Nejjari and V. Puig. Fault tolerant control of a proton exchange membrane fuel cell using Takagi-Sugeno virtual actuators. Journal of Process Control, 45: 12–29, 2016.

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  • G. Obando, J. Barreiro-Gomez and N. Quijano. A class of population dynamics for reaching epsilon-equilibria: Engineering applications, 2016 American Control Conference, 2016, Boston, MA, pp. 4713-4718.

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  • F. Karimi, C. Ocampo-Martínez and V. Puig. Output-feedback model predictive control of a pasteurization pilot plant based on an LPV model, 13th European Workshop on Advanced Control and Diagnosis, 2016, Lille, Vol 783 of Journal of Physics: Conference Series, pp. 012029, 2017.

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  • D. Rotondo, F. Nejjari and V. Puig. Dilated LMI characterization for the robust finite time control of discrete-time uncertain linear systems. Automatica, 63(16): 16-20, 2016.

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  • P. Velarde, J.M. Maestre, C. Ocampo-Martínez and C. Bordons. Application of robust model predictive control to a renewable hydrogen-based microgrid, 2016 European Control Conference, 2016, Aalborg, Denmark, pp. 1209-1214.

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  • F. Karimi, V. Puig and C. Ocampo-Martínez. Health-aware model predictive control of pasteurization plant, 13th European Workshop on Advanced Control and Diagnosis, 2016, Lille, Vol 783 of Journal of Physics: Conference Series, pp. 012030, 2017.

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  • D. Rotondo, A. Cristofaro, T.A. Johansen, F. Nejjari and V. Puig. Detection of icing and actuators faults in the longitudinal dynamics of small UAVs using an LPV proportional integral unknown input observer, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 690-697, IEEE.

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  • M. Pourasghar, V. Puig and C. Ocampo-Martínez. Comparison of set-membership and interval observer approaches for state estimation of uncertain systems, 2016 European Control Conference, 2016, Aalborg, Denmark, pp. 1111-1116.

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  • A. Soldevila, S. Tornil-Sin, R.M. Fernandez-Cantí, J. Blesa and V. Puig. Optimal sensor placement for classifier-based leak localization in drinking water networks, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 319-324, IEEE.

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  • M. Ghaniee Zarch, J. Poshtan and V. Puig. Fault tolerance evaluation of nonlinear systems using viability theory, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 717-723, IEEE.

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  • R.M. Fernandez-Cantí, J. Blesa, V. Puig and S. Tornil-Sin. Set-membership identification and fault detection using a Bayesian framework. International Journal of Systems Science, 47(7): 1710-1724, 2016.

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  • Y. Wang, V. Puig and G. Cembrano. Economic MPC with periodic terminal constraints of nonlinear differential-algebraic-equation systems: Application to drinking water networks, 2016 European Control Conference, 2016, Aalborg, Denmark, pp. 1013-1018.

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  • A. Soldevila, J. Blesa, S. Tornil-Sin, E. Duviella, R.M. Fernandez-Cantí and V. Puig. Leak localization in water distribution networks using a mixed model-based/data-driven approach. Control Engineering Practice, 55: 162-173, 2016.

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  • D. Rotondo, J.C. Ponsart, F. Nejjari, D. Theilliol and V. Puig. Virtual actuator-based FTC for LPV systems with saturating actuators and FDI delays, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 831-837, IEEE.

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  • J. Blesa, V. Puig, J. Saludes and R.M. Fernandez-Cantí. Set-membership parity space approach for fault detection in linear uncertain dynamic systems. International Journal of Adaptive Control and Signal Processing, 30(2): 186-205, 2016.

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  • G. Riaño-Briceño, J. Barreiro-Gomez, A. Ramirez-Jaime, N. Quijano and C. Ocampo-Martínez. MatSWMM - An open-source toolbox for designing real-time control of urban drainage systems. Environmental Modelling & Software, 83: 143-154, 2016.

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  • R. Pérez, J. Cugueró, J. Blesa, M. Cugueró and G. Sanz. Uncertainty effect on leak localisation in a DMA, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 313-318, IEEE.

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  • E. Codres, A. Stancu and V. Puig. A fault hiding approach for the sliding mode fault-tolerant control of a non-holonomic mobile robot, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 7-14, IEEE.

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  • J. Blesa, F. Nejjari and R. Sarrate. Robust sensor placement for leak location: Analysis and design. Journal of Hydroinformatics, 18(1): 136-148, 2016.

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  • J.A. Luna, E. Usai, A.P. Husar and M. Serra. Nonlinear observation in fuel cell systems: A comparison between disturbance estimation and high-order sliding-mode techniques. International Journal of Hydrogen Energy, 41(43): 19737-19748, 2016.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, J. Blesa, V. Puig and E. Duviella. Decentralized fault-tolerant control of inland navigation networks: a challenge, 13th European Workshop on Advanced Control and Diagnosis, 2016, Lille, Vol 783 of Journal of Physics: Conference Series, pp. 012018, 2017.

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  • H. Rodriguez, V. Puig, J.J. Flores and R. Lopez. Combined Holt-Winters and GA trained ANN approach for sensor validation and reconstruction: Application to water demand flowmeters, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 202-207, IEEE.

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  • I. Jurado, J.M. Maestre, P. Velarde, C. Ocampo-Martínez, I. Fernández, B. Isla and J. del Prado. Stock management in hospital pharmacy using chance-constrained model predictive control. Computers in Biology and Medicine, 72: 248-255, 2016.

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  • M. Pourasghar, V. Puig and C. Ocampo-Martínez. Characterization of the minimum detectable fault of interval observers by using set-invariance theory, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 79-86, IEEE.

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  • M. Nassourou, V. Puig and J. Blesa. Robust optimization based energy dispatch in smart grids considering demand uncertainty, 13th European Workshop on Advanced Control and Diagnosis, 2016, Lille, Vol 783 of Journal of Physics: Conference Series, pp. 012033, 2017.

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  • F. Xu, J. Tan, X. Wang, V. Puig, H. Liu, B. Liang and B. Yuan. Robust state estimation and fault detection combining unknown input observer and set-membership approach, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 67-72, IEEE.

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  • C. Sun, V. Puig and G. Cembrano. Combining CSP and MPC for the operational control of water networks. Engineering Applications of Artificial Intelligence, 49: 126-140, 2016.

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  • Y. Wang, V. Puig, G. Cembrano and T. Álamo. Guaranteed state estimation and fault detection based on zonotopes for differential-algebraic-equation systems, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 478-484, IEEE.

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  • Z. Baroud, N. Gazzam, A. Benalia and C. Ocampo-Martínez. Algebraic observer design for PEM fuel cell system, 8th International Conference on Modelling, Identification and Control, 2016, Algiers, Algeria, pp. 966-970, IEEE.

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  • F. Xu, J. Tan, X. Wang, V. Puig, B. Liang and B. Yuan. A novel design of unknown input observers using set-theoretic methods for robust fault detection, 2016 American Control Conference, 2016, Boston, MA, pp. 5957-5961.

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  • D. Rotondo, R.M. Fernandez-Cantí, S. Tornil-Sin, J. Blesa and V. Puig. Robust fault diagnosis of proton exchange membrane fuel cells using a Takagi-Sugeno interval observer approach. International Journal of Hydrogen Energy, 41(4): 2875-2886, 2016.

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  • Y. Wang, V. Puig and G. Cembrano. Fault-tolerant periodic economic model predictive control of differential-algebraic-equation systems, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 704-710, IEEE.

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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 model-based Bayesian reasoning, 2016 European Control Conference, 2016, Aalborg, Denmark, pp. 1758-1763.

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  • H. Rodriguez, V. Puig, J.J. Flores and R. Lopez. Flow meter data validation and reconstruction using neural networks: Application to the Barcelona water network, 2016 European Control Conference, 2016, Aalborg, Denmark, pp. 1746-1751.

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  • T. Jahnke, G. Futter, A. Latz, T. Malkow, G. Papakonstantinou, G. Tsotridis, P. Schott, M. Gérard, M. Quinaud, M. Quiroga, A.A. Franco, K. Malek, F. Calle-Vallejo, R. Ferreira de Morais, T. Kerber, P. Sautet, D. Loffreda, S. Strahl, M. Serra, P. Polverino, C. Pianese, M. Mayur, W. Bessler and C. Kompis. Performance and degradation of proton exchange membrane fuel cells: State of the art in modeling from atomistic to system scale. Journal of Power Sources, 304(1): 207-233, 2016.

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  • Y. Wang and V. Puig. Zonotopic extended Kalman filter and fault detection of discrete-time nonlinear systems applied to a quadrotor helicopter, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 367-372, IEEE.

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  • Y. Wang, T. Álamo, V. Puig and G. Cembrano. Periodic economic model predictive control with nonlinear-constraint relaxation for water distribution networks, 2016 IEEE Conference on Control Applications, 2016, Buenos Aires, Argentina, pp. 1167-1172.

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  • Z. Baroud, A. Benalia and C. Ocampo-Martínez. Air flow regulation in fuel cells: An efficient design of hybrid fuzzy-PID control. Electrotehnică, Electronică, Automatică, 64(4): 28-32, 2016.

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  • J. Barreiro-Gomez, N. Quijano and C. Ocampo-Martínez. Constrained distributed optimization: A population dynamics approach. Automatica, 69(2016): 101-116, 2016.

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  • J.A. Luna, E. Usai, A.P. Husar and M. Serra. Observation of the electrochemically active surface area in a proton exchange membrane fuel cell, 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016, Florence, pp. 5483-5488.

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  • E. Pérez, M. Serra, C. Ocampo-Martínez and J. Llorca. Nonlinear model predictive control for hydrogen production in an ethanol steam reformer with membrane separation, 2016 IEEE Multi-Conference on Systems and Control, 2016, Buenos Aires, Argentina, pp. 1155-1160.

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  • F. Soriano, J.M. Moreno-Eguilaz, J.A. Álvarez and J. Riera. Topological analysis of powertrains for refuse-collecting vehicles based on real routes – Part I: Hybrid hydraulic powertrain. International Journal of Automotive Technology, 17(5): 873-882, 2016.

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  • J.M. Grosso, C. Ocampo-Martínez and V. Puig. Reliability-based economic model predictive control for generalized flow-based networks including actuators' health-aware capabilities. International Journal of Applied Mathematics and Computer Science, 26(3): 641-654, 2016.

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  • D. Robles, V. Puig, C. Ocampo-Martínez and L.E. Garza. Reliable fault-tolerant model predictive control of drinking water transport networks. Control Engineering Practice, 55: 197-211, 2016.

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  • S. Strahl and R. Costa Castelló. Model-based analysis for the thermal management of open-cathode proton exchange membrane fuel cell systems concerning efficiency and stability. Journal of Process Control, 47: 201–212, 2016.

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  • F. Soriano, J.M. Moreno-Eguilaz, J.A. Álvarez and J. Riera. Topological analysis of powertrains for refuse-collecting vehicles based on real routes-Part II: Hybrid electric powertrain. International Journal of Automotive Technology, 17(5): 883-894, 2016.

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  • R. Sarrate, J. Blesa and F. Nejjari. Sensor placement for leak monitoring in drinking water networks combining clustering techniques and a semi-exhaustive search, 3rd Conference on Control and Fault Tolerant Systems, 2016, Barcelona, pp. 419-424, IEEE.

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  • J.A. Luna, S. Jemei, N. Yousfi, A.P. Husar, M. Serra and D. Hissel. Nonlinear predictive control for durability enhancement and efficiency improvement in a fuel cell power system. Journal of Power Sources, 328: 250-261, 2016.

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  • Y. Wang, A.F. Ramírez, F. Xu and V. Puig. Nonlinear model predictive control with constraint satisfactions for a quadcopter, 13th European Workshop on Advanced Control and Diagnosis, 2016, Lille, Vol 783 of Journal of Physics: Conference Series, pp. 1-12, 2017.

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  • V. Roda, D. Feroldi and J.C. Gomez. Identification of PEM fuel cells based on support vector regression and orthonormal base, 2016 IEEE International Symposium on Intelligent Control, 2016, Buenos Aires, pp. 173-178.

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  • J.A. Luna, A.P. Husar, M. Serra, S. Jemei and N. Yousfi. Nonlinear model predictive control methodology for efficiency and durability improvement in a fuel cell power system, 21st World Hydrogen Energy Conference, 2016, Zaragoza, pp. 1-2.

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  • A.F. Ramírez, N. Quijano and C. Ocampo-Martínez. A differential game approach to urban drainage systems control, 2016 American Control Conference, 2016, Boston, MA, pp. 3796-3801.

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  • D. Rotondo, M. Witczakc, V. Puig, F. Nejjari and M. Pazera. Robust unknown input observer for state and fault estimation in discrete-time Takagi-Sugeno systems. International Journal of Systems Science, 47(14): 3409-3424, 2016.

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  • Y. Wang, C. Ocampo-Martínez and V. Puig. Stochastic model predictive control based on Gaussian processes applied to drinking water networks. IET Control Theory and Applications, 10(8): 947-955, 2016.

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  • J. Barreiro-Gomez, I. Mas, C. Ocampo-Martínez, 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, 2016, Las Vegas, EEUU, pp. 5245-5250, IEEE.

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  • D. Rotondo, F.R. Lopez, F. Nejjari, J.C. Ponsart, D. Theilliol and V. Puig. Actuator multiplicative fault estimation in discrete-time LPV systems using switched observers. Journal of Franklin Institute, 353(13): 3176–3191, 2016.

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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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