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.
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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 (2019 - 2018) of the Automatic Control

  • 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, 2019, to appear.

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  • S. Siniscalchi, F. Bianchi, M. De Prada and C. Ocampo-Martínez. A wind farm control strategy for power reserve maximization. Renewable Energy, 131: 37-44, 2019.

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  • J. Barreiro-Gomez. The Role of Population Games in the Design of Optimization-Based Controllers. Volume of Springer Theses. Springer, 2019.

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  • D. Rotondo, A. Cristofaro, T.A. Johansen, F. Nejjari and V. Puig. Robust fault and icing diagnosis in unmanned aerial vehicles using LPV interval observers. International Journal of Robust and Nonlinear Control, 2019, to appear.

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  • M. Pourasghar, C. Combastel, V. Puig and C. Ocampo-Martínez. FD-ZKF: A zonotopic Kalman filter optimizing fault detection rather than state estimation. Journal of Process Control, 73: 89-102, 2019.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez and N. Quijano. Time-varying partitioning for predictive control design: Density-games approach. Journal of Process Control, 75: 1-14, 2019.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Model predictive control and moving horizon estimation for water level regulation in inland waterways. Journal of Process Control, 76: 1-14, 2019.

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  • J. Barreiro-Gomez, G. Obando, C. Ocampo-Martínez and N. Quijano. An evolutionary-games approach for distributed predictive control involving resource allocation. IET Control Theory and Applications, 2019, to appear.

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  • M.G. Carignano, V. Roda, R. Costa Castelló, L. Valiño, A. Lozano and F. Barreras. Assessment of energy management in a fuel cell/battery hybrid vehicle. IEEE Access, 7(1): 16110-16122, 2019.

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  • M. Pourasghar, V. Puig and C. Ocampo-Martínez. Interval observer versus set-membership approaches for fault detection in uncertain systems using zonotopes. International Journal of Robust and Nonlinear Control, 2019, to appear.

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  • J. Na, Y. Xing and R. Costa Castelló. Adaptive estimation of time-varying parameters with application to roto-magnet plant. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, to appear.

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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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  • P.G. Rullo, R. Costa Castelló, V. Roda and D. Feroldi. Energy management strategy for a bioethanol isolated hybrid system: Simulations and experiments. Energies, 11(6): 1362, 2018.

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  • U. Raveendran Nair, R. Costa Castelló and A. Baños. Reset control of boost converters, 2018 American Control Conference, 2018, Milwaukee, USA, pp. 553-558.

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  • M. Ghaniee Zarch, V. Puig, J. Poshtan and M. Aliyari Shoorehdeli. Actuator fault tolerance evaluation approach of nonlinear model predictive control systems using viability theory. Journal of Process Control, 71: 35-45, 2018.

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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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  • J.A. Luna and R. Costa Castelló. Chattering free high order sliding mode observer for estimation of liquid water fraction in a proton exchange membrane fuel cell, 2018 European Control Conference, 2018, Cyprus, pp. 1226-1231.

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  • L.A. Fletscher, J. Barreiro-Gomez, C. Ocampo-Martínez, C. Valencia and J.M. Maestre. Atomicity and non-anonymity in population-like games for the energy efficiency of hybrid-power HetNets. IEEE Transactions on Network and Service Management, 15(4): 1600-1614, 2018.

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  • M. Ghaniee Zarch, V. Puig, J. Poshtan and M. Aliyari Shoorehdeli. Fault detection and isolation using viability theory and interval observers. International Journal of Systems Science, 49(7): 1445-1462, 2018.

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  • Y. Wang, V. Puig and G. Cembrano. Set-membership approach and Kalman observer based on zonotopes for discrete-time descriptor systems. Automatica, 93: 435-443, 2018.

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

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  • G.A. Ramos and R. Costa Castelló. Comparison of different repetitive control architectures: synthesis and comparison. Application to VSI converters. Electronics, 7(12): 1-19, 2018.

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  • Z. Wang, W. Tang, Q. Zhang, V. Puig and Y. Shen. Zonotopic state estimation and fault detection for systems with time-invariant uncertainties, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 494-499, IFAC-Elsevier.

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  • Y. Wang, T. Álamo, V. Puig and G. Cembrano. Economic model predictive control with nonlinear constraint relaxation for the operational management of water distribution networks. Energies, 11(4): 991, 2018.

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  • F. Muros, J.M. Maestre, C. Ocampo-Martínez, E. Algaba and E. Fernández. A game theoretical randomized method for large-scale systems partitioning. IEEE Access, 6(1): 42245-42263, 2018.

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  • D. Rotondo, H.S. Sánchez, F. Nejjari and V. Puig. Análisis y diseño de sistemas lineales con parámetros variantes utilizando LMIs. Revista Iberoamericana de Automática e Informática Industrial, 16(1): 1-14, 2018.

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  • F. Xu, J. Tan, X. Wang, V. Puig, B. Liang and B. Yuan. Mixed active/passive robust fault detection and isolation using set-theoretic unknown input observers. IEEE Transactions on Automation Science and Engineering, 15(2): 863-871, 2018.

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  • P. Segovia, J. Blesa, K. Horváth, L. Rajaoarisoa, F. Nejjari, V. Puig and E. Duviella. Modeling and fault diagnosis of flat inland navigation canals. Proceedings of the Institution of Mechanical Engineers Part I - Journal of Systems and Control Engineering, 232(6): 761-771, 2018.

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  • M. Nassourou, J. Blesa and V. Puig. Optimal energy dispatch in a smart micro-grid system using economic model predictive control. Proceedings of the Institution of Mechanical Engineers Part I - Journal of Systems and Control Engineering: 1-11, 2018.

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  • Z. Rasouli and V. Puig. Optimal operation of a residential energy hub, 7th International Conference on Systems and Control, 2018, Valencia, pp. 105-110.

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  • P. Segovia, G. Desquesnes, A. Doniec, E. Duviella, G. Lozenguez, F. Nejjari, V. Puig and L. Rajaoarisoa. Management tools to study and to deal with effects of climate change on inland waterways, 7th Transport Research Arena, 2018, Viena, Austria, pp. 1-10.

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  • A. Soldevila, J. Blesa, S. Tornil-Sin, R.M. Fernandez-Cantí and V. Puig. Sensor placement for classifer-based leak localization in water distribution networks using hybrid feature selection. Computers and Chemical Engineering, 108: 152-162, 2018.

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  • T. Péan, J. Salom and R. Costa Castelló. Configurations of model predictive control to exploit energy flexibility in building thermal loads, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3177-3182.

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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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  • P. Segovia, J. Blesa, E. Duviella, L. Rajaoarisoa, F. Nejjari and V. Puig. Sliding window assessment for sensor fault model-based diagnosis in inland waterways, 1st IFAC Workshop on Integrated Assessment Modelling for Environmental Systems, 2018, Brescia, Italy, Vol 51(5) of IFAC Papers Online, pp. 31-36.

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  • D. Quintana, V. Sanz, R. Costa Castelló and C. Batlle. Uso de pilas de combustible PEM de alta temperatura en una aplicación de cogeneración para aplicaciones de confort, XXXIX Jornadas de Automática, 2018, Badajoz, Spain, pp. 584-590.

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  • S. Siniscalchi, M. De Prada, F. Bianchi, C. Ocampo-Martínez and B. De Schutter. A multi-objective predictive control strategy for enhancing primary frequency support with wind farms, 2018 The Science of Making Torque from Wind, 2018, Milano, Italy, Vol 1037 of Journal of Physics: Conference Series, pp. 032034, 2018.

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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, 28(12): 3713-3727, 2018.

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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Input-delay model predictive control of inland waterways considering the backwater effect, 2nd IEEE Conference on Control Technology and Applications, 2018, Copenhague, Denmark, pp. 589-594.

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  • J. Quevedo, H.S. Sánchez, D. Rotondo, T. Escobet and V. Puig. A two-tank benchmark for detection and isolation of cyber attacks, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 770-775, IFAC-Elsevier.

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  • S. Siniscalchi, C. Ocampo-Martínez, F. Bianchi, M. De Prada and B. De Schutter. Partitioning approach for large wind farms: Active power control for optimizing power reserve, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3183-3188.

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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, 43(35): 16929-16940, 2018.

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  • P. Segovia, J. Blesa, E. Duviella, L. Rajaoarisoa, F. Nejjari and V. Puig. Sensor fault diagnosis in inland navigation networks based on a grey-box model, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 742-747, IFAC-Elsevier.

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  • H.S. Sánchez, D. Rotondo, T. Escobet, V. Puig and J. Quevedo. Frequency-based detection of replay attacks: application to a multiple tank system, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 969-974, IFAC-Elsevier.

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  • Y. Wan, V. Puig, C. Ocampo-Martínez, Y. Wang and R. Braatz. Probability-guaranteed set-membership state estimation for polynomially uncertain linear time-invariant systems, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 2291-2296.

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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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  • P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Distributed input-delay model predictive control of inland waterways, 13th International Conference on Hydroinformatics, 2018, Palermo, Italy, pp. 1893-1901.

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  • W. Ananduta, J. Barreiro, C. Ocampo-Martínez and N. Quijano. Mitigation of communication failures in distributed model predictive control strategies. IET Control Theory and Applications, 12(18): 2507-2515, 2018.

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  • F. Karimi, V. Puig and G. Cembrano. Health-aware LPV-MPC based on a reliability-based remaining useful life assessment, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 1285-1291, IFAC-Elsevier.

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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, pp. 701-706.

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  • S. Farahani, S. Zadeh, R. Majumdar and C. Ocampo-Martínez. Formal controller synthesis for wastewater systems with signal temporal logic constraints: The Barcelona case study. Journal of Process Control, 69: 179-191, 2018.

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  • Y.O. Eldigair, C. Kunusch, C. Ocampo-Martínez and P. Camocardi. Sliding mode anti-windup strategy for mass flow-rate regulation of compressors with rate-limited motors, 15th International Workshop on Variable Structure Systems, 2018, Graz, Austria, IEEE.

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  • M. Pourasghar, V. Puig and C. Ocampo-Martínez. Interval observer fault detection ensuring detectability and isolability by using a set-invariance approach, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 1111-1118, IFAC-Elsevier.

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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, pp. 1286-1291.

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  • H.S. Sánchez, D. Rotondo, V. Puig and J. Quevedo. A shifting pole placement approach for the design of performance-varying multivariable PID controllers via BMIs, 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control, 2018, Ghent, Belgium, Vol 51(4) of IFAC Papers Online, pp. 256-261.

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  • W. Ananduta, J.M. Maestre, C. Ocampo-Martínez and H. Ishii. Resilient distributed energy management for systems of interconnected microgrids, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3159-3164.

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  • T. Darure, V. Puig, J. Yamé, F. Hamelin and Y. Wang. Distributed model predictive control applied to a VAV based HVAC system based on sensitivity analysis, 6th IFAC Conference on Nonlinear Model Predictive Control, 2018, Madison, Wisconsin, USA, Vol 51:20 of IFAC Papers Online, pp. 259-264, 2018.

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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, pp. 5750-5755.

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  • J.L. Guzmán, Y. Piguet, S. Dormido, M. Berenguel and R. Costa Castelló. New interactive books for control education, 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control, 2018, Ghent, Belgium, Vol 51(4) of IFAC Papers Online, pp. 190-195.

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  • Z. Baroud, N. Gazzam, A. Benalia and C. Ocampo-Martínez. Algebraic observer-based output-feedback controller design for a PEM fuel cell air-supply subsystem. IET Renewable Power Generation, 12(14): 1714-1721, 2018.

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  • X. Liu, Z. Wang, Y. Wang and Y. Shen. Dynamic threshold computation in fault detection for discrete-time linear systems, 30th Chinese Control and Decision Conference, 2018, Shenyang, China, pp. 2241-2246.

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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, pp. 2517-2522.

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  • J.M. Díaz, S. Dormido and R. Costa Castelló. The use of interactivity in the controller design: Loop shaping versus closed-loop shaping, 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control, 2018, Ghent, Belgium, Vol 51(4) of IFAC Papers Online, pp. 334-339.

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  • C. Sun, B. Joseph, G. Cembrano, V. Puig and J. Meseguer. Advanced integrated real-time control of combined urban drainage systems using MPC: Badalona case study, 13th International Conference on Hydroinformatics, 2018, Palermo, Italy, pp. 2033-2041.

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  • J. Li, Z. Wang, Y. Shen and Y. Wang. Zonotopic fault detection observer design for Takagi-Sugeno fuzzy systems. International Journal of Systems Science, 49(15): 3216-3230, 2018.

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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, Malaga, Spain, pp. 1-2.

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  • Y. Xing, J. Na and R. Costa Castelló. Composite PID control with unknown dynamics estimator for rotomagnet plant. , 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control, 2018, Ghent, Belgium, Vol 51(4) of IFAC Papers Online, pp. 817-822.

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  • J. Feng, C. Sun, G. Cembrano and V. Puig. Factors influencing the simplified quality model performance, 13th International Conference on Hydroinformatics, 2018, Palermo, Italy, pp. 706-714.

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  • D. Rotondo, A. Cristofaro, T.A. Johansen, F. Nejjari and V. Puig. State estimation and decoupling of unknown inputs in uncertain LPV systems using interval observers. International Journal of Control, 91(8): 1944-1961, 2018.

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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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  • U. Raveendran Nair, R. Costa Castelló and A. Baños. Grid voltage regulation using a reset PI+CI controller for energy storage systems. , 3rd IFAC Conference on Advances in Proportional-Integral-Derivative Control, 2018, Ghent, Belgium, Vol 51(4) of IFAC Papers Online, pp. 226-231.

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  • C. Sun, G. Cembrano, V. Puig and J. Meseguer. Cyber-physical systems for real-time management in the urban water cycle, 4th International Workshop on Cyber-Physical Systems for Smart Water Networks, 2018, Porto, Portugal, pp. 5-8.

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  • M. Witczakc, D. Rotondo, V. Puig, F. Nejjari and M. Pazera. Fault estimation of wind turbines using combined adaptive and parameter estimation schemes. International Journal of Adaptive Control and Signal Processing, 32(4): 549-567, 2018.

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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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