Research Project

ECOCIS: EConomic Operation of Critical Infrastructure Systems

Type

National Project

Start Date

01/01/2014

End Date

31/12/2017

Project Code

DPI2013-48243-C2-1-R

Project illustration

Staff

Project Description

In modern societies, the reliable and continuous operation of certain infrastructures plays a fundamental role in the quality of life, economic development and security of nations. Large-scale critical infrastructure systems (CIS), especially those located in urban areas as drinking water or gas infrastructures, is a subject of increasing concern. Because of this, these infrastructures are considered critical and it is very important to develop management systems that guarantee a reliable and continuous operation of these infrastructures. Other important aspects of the management of these infrastructures is that their operation must use efficiently the resources that they deliver, e.g., water, gas, etc, and also be efficient from an economic point of view and guarantee future supply.

The critical nature of these infrastructures makes necessary a management system able to take into account their specific features and operation limits in presence of the uncertainties related to their operation. Thus, it is of paramount importance to have a control system in the management system that, from sensor measurements and available predictions of external influential variables, finds the proper way to operate the infrastructure in an efficient, safe and continuous manner.

ECOCIS will study and develop novel solutions for CIS that will address:
1. The analysis of these systems to understand the weaknesses and risks in case some fault appears;
2. Fault detection/isolation and mitigation of its effect by means of fault-tolerant mechanisms;
3. Analysis and assessment of the efficiency of the CIS and determination of a computable economic cost function;
4. Development of sensor-feedback control systems for the real-time economic optimization of the infrastructure tolerant to uncertainty and errors in predictions;
5. Development of distributed control architectures for large-scale CIS.

Algorithms and methodologies developed in ECOCIS will be validated in realistic problems posed by the project stakeholder companies (Aguas de Barcelona, CEPSA, Gaz de France, Emasesa). ECOCIS is a joint project of Instituto de Robótica e Informática Industrial (IRI) (overall coordinator), which is a UPC-CSIC joint research Institute, and the Systems Engineering and Automation Dept. and Energetic Engineering Dept. both of the Universidad de Sevilla (US). CETAQUA, a technology center of AGBAR, UPC and CSIC, will participate together with the IRI team. ECOCIS addresses the 5th Challenge of the Spanish and the European Strategic Plan: Climate action, environment, resource efficiency and raw materials, by using ICT enabling technologies, to develop solutions for the efficient operation of large-scale critical infrastructures (CIS) of energy and water.

ECOCIS is also in line with the objectives of European research policy developed through the framework program Horizon 2020, and the Spanish research plan 2013. Regarding this last one, the objectives of ECOCIS are in line with the priority II (Resource efficiency and raw materials), objective (i) (Integral management and sustainable usage of water resources.) and objective (vii) (RTD in industrial processes.efficient from a point of view of raw materials and energy).

Project Publications

Journal Publications

  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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 Magazine, 37(1): 70-97, 2017.

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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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  • 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.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. 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • L. García, J. Barreiro-Gomez, E. Escobar, D. Téllez, N. Quijano and C. Ocampo-Martínez. Modeling and real-time control of urban drainage systems: A review. Advances in Water Resources, 85: 120-132, 2015.

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  • B. Joseph, C. Ocampo-Martínez and G. Cembrano. Output-feedback control of combined sewer networks through receding horizon control with moving horizon estimation. Water Resources Research, 51(10): 8129-8145, 2015.

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  • D. Rotondo, V. Puig, F. Nejjari and M. Witczakc. Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models. Fuzzy Sets and Systems, 277: 44-64, 2015.

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  • M. Witczakc, D. Rotondo, V. Puig and P. Witczakc. A practical test for assessing the reachability of discrete-time Takagi-Sugeno fuzzy systems. Journal of the Franklin Institute, 352(12): 5936–5951, 2015.

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  • A. Nunez, C. Ocampo-Martínez, J.M. Maestre and B. De Schutter. Time-varying scheme for non-centralized model predictive control of large-scale systems. Mathematical Problems in Engineering, 2015(560702): 1-17, 2015.

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  • R.M. Fernandez-Cantí, S. Tornil-Sin, J. Blesa and V. Puig. Non-linear set-membership identification approach based on the Bayesian framework. IET Control Theory and Applications, 9(9): 1392-1398, 2015.

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  • R. Pérez, G. Sanz, V. Puig, J. Quevedo, M. Cugueró, F. Nejjari, J. Meseguer, G. Cembrano, J.M. Mirats and R. Sarrate. Leak localization in water networks: A model-based methodology using pressure sensors applied to a real network in Barcelona. IEEE Control Systems Magazine, 34(4): 24-36, 2014.

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  • J. Meseguer, J.M. Mirats, G. Cembrano, V. Puig, J. Quevedo, R. Pérez, G. Sanz and D. Ibarra. A decision support system for on-line leakage localization. Environmental Modelling & Software, 60: 331-345, 2014.

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Conference Publications

  • Y. Wang, D. Muñoz, V. Puig and G. Cembrano. A novel formulation of economic model predictive control for periodic operations, 17th European Control Conference, 2018, Cyprus, pp. 1015-1020.

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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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  • Y. Wang, S. Olaru, G. Valmorbida, V. Puig and G. Cembrano. Robust invariant sets and active mode detection for discrete-time uncertain descriptor systems, 56th IEEE Conference on Decision and Control, 2017, Melbourne, Australia, pp. 5648-5653.

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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, 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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  • 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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  • 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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  • 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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  • 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. 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • P. Velarde, J.M. Maestre, C. Ocampo-Martínez and C. Bordons. Application of robust model predictive control to a renewable hydrogen-based microgrid, 15th European Control Conference, 2016, Aalborg, Denmark, pp. 1209-1214.

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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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  • 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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  • M. Pourasghar, V. Puig and C. Ocampo-Martínez. Comparison of set-membership and interval observer approaches for state estimation of uncertain systems, 15th European Control Conference, 2016, Aalborg, Denmark, pp. 1111-1116.

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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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  • 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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  • Y. Wang, V. Puig and G. Cembrano. Economic MPC with periodic terminal constraints of nonlinear differential-algebraic-equation systems: Application to drinking water networks, 15th European Control Conference, 2016, Aalborg, Denmark, pp. 1013-1018.

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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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  • 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, 15th 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, 15th European Control Conference, 2016, Aalborg, Denmark, pp. 1746-1751.

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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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  • 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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  • F. Nejjari, R. Sarrate and J. Blesa. Optimal pressure sensor placement in water distribution networks minimizing leak location uncertainty, 13th Computing and Control for the Water Industry Conference, 2015, Leicester, Vol 119 of Procedia Engineering, pp. 953–962, Elsevier.

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  • C. Sun, M. Morley, D. Savic, V. Puig, G. Cembrano and Z. Zhang. Combining model predictive control with constraint-satisfaction formulation for the operative pumping control in water networks, 13th Computing and Control for the Water Industry Conference, 2015, Leicester, Vol 119 of Procedia Engineering, pp. 963-972, Elsevier.

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  • J. Blesa, F. Le Gall, C. Jauberthie and L. Trave-Massuyes. State estimation and fault detection using box particle filtering with stochastic measurements, 26th International Workshop on Principles of Diagnosis, 2015, Paris, pp. 67-73.

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  • V. Puig and C. Ocampo-Martínez. Decentralised fault diagnosis of large-scale systems: Application to water transport networks, 26th International Workshop on Principles of Diagnosis, 2015, Paris, pp. 99-104.

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  • L. Ferrandez-Gamot, P. Busson, J. Blesa, S. Tornil-Sin, V. Puig, E. Duviella and A. Soldevila. Leak localization in water distribution networks using pressure residuals and classifiers, 9th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2015, Paris, Vol 48:21 of IFAC Papers Online, pp. 220–225, IFAC-Elsevier.

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  • J. Barreiro-Gomez, G. Obando, C. Ocampo-Martínez and N. Quijano. Making non-centralized a model predictive control scheme by using distributed Smith dynamics, 5th IFAC Conference on Nonlinear Model Predictive Control, 2015, Seville, Vol 48:23 of IFAC-PapersOnLine, pp. 501-506, 2015.

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  • J. Meseguer, J.M. Mirats, G. Cembrano and V. Puig. Model-based monitoring techniques for leakage localization in distribution water networks, 13th Computing and Control for the Water Industry Conference, 2015, Leicester, Vol 119 of Procedia Engineering, pp. 1399-1408, Elsevier.

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  • G. Riaño-Briceño, A. Ramirez-Jaime, J. Barreiro-Gomez, N. Quijano and C. Ocampo-Martínez. Co-simulation for the design of controllers in urban drainage systems, 2nd IEEE Colombian Conference on Automatic Control, 2015, Manizales, Colombia, pp. 1-6.

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  • J. Barreiro-Gomez, N. Quijano and C. Ocampo-Martínez. Distributed resource management by using population dynamics: Wastewater treatment application, 2nd IEEE Colombian Conference on Automatic Control, 2015, Manizales, Colombia, pp. 1-6.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez, J.M. Maestre and N. Quijano. Multi-objective model-free control based on population dynamics and cooperative games, 54th IEEE Conference on Decision and Control, 2015, Osaka, Japan, pp. 5296-5301.

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  • J. Sánchez, J.D. Ortega and C. Ocampo-Martínez. Temperature regulation of a pilot-scale batch reaction system via explicit model predictive control, 2nd IEEE Colombian Conference on Automatic Control, 2015, Manizales, Colombia, pp. 1-6.

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  • J. Barreiro-Gomez, C. Ocampo-Martínez, F. Bianchi and N. Quijano. Model-free control for wind farms using a gradient estimation-based algorithm, 14th European Control Conference, 2015, Linz, Austria, pp. 1516-1521.

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  • J. Barreiro-Gomez, G. Obando, G. Riaño-Briceño, N. Quijano and C. Ocampo-Martínez. Decentralized control for urban drainage systems via population dynamics: Bogota case study, 14th European Control Conference, 2015, Linz, Austria, pp. 2426-2431.

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  • Y. Wang, C. Ocampo-Martínez and V. Puig. Robust model predictive control based on Gaussian processes: Application to drinking water networks, 14th European Control Conference, 2015, Linz, Austria, pp. 3292-3297.

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  • J. Meseguer, G. Cembrano, J.M. Mirats and E. Bonada. Optimizing operating rules of multiple source water supply systems in terms of system reliability and resulting operating costs, 11th International Conference on Hydroinformatics, 2014, New York City.

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  • Y. Wang, C. Ocampo-Martínez, V. Puig and J. Quevedo. Gaussian-process-based demand forecasting for predictive control of drinking water networks, 9th International Conference on Critical Information Infrastructures Security, 2014, Limassol, Cyprus, in Critical Information Infrastructures Security, Vol 8985 of Lecture Notes in Computer Science, pp. 69-80, 2016, Springer.

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  • J. Barreiro-Gomez, N. Quijano and C. Ocampo-Martínez. Distributed control of drinking water networks using population dynamics: Barcelona case study, 53rd IEEE Conference on Decision and Control, 2014, Los Angeles, pp. 3216-3221.

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Other Publications

  • 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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  • 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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  • C. Ocampo-Martínez, R. Negenborn (editors). Transport of Water versus Transport over Water: Exploring the Operational Interplay of Transport and Water. Volume 58 of Operations Research/Computer Science Interfaces Series. Springer, 2015.

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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. 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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  • 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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  • 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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  • 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.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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  • 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. Barreiro-Gomez, C. Ocampo-Martínez and N. Quijano. Evolutionary-game-based dynamical tuning for multi-objective model predictive control. In Developments in Model-Based Optimization and Control, 115-138. Springer Verlag, 2015.

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  • A. Rosich and C. Ocampo-Martínez. Real-time experimental implementation of predictive control schemes in a small-scale pasteurization plant. In Developments in Model-Based Optimization and Control, 255-273. Springer Verlag, 2015.

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  • R. Negenborn and C. Ocampo-Martínez. Perspectives on transport of water versus transport over water. In Transport of Water versus Transport over Water, 1-10. Springer, 2015.

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  • V. Puig, C. Ocampo-Martínez and R. Negenborn. Model predictive control for combined water supply and navigability/sustainability in river systems. In Transport of Water versus Transport over Water, 13-33. Springer, 2015.

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  • J. Vendrell, C. Sun, V. Puig and G. Cembrano. Fuzzy clustering application on failure rate prediction in water distribution networks. Technical Report IRI-TR-20-02, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2020.

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