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Gaussian-Process-Based Demand Forecasting for Predictive Control of Drinking Water Networks.

Y. Wang, C. Ocampo-Martinez, V. Puig, and J. Quevedo. CRITIS, volume 8985 of Lecture Notes in Computer Science, page 69-80. Springer, (2014)

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Carlos Peiro Frasquet University of Stuttgart

Dr. Venancio Martinez Garcia University of Stuttgart

Carlos Sánchez Delgado University of Stuttgart

Carlos Eduardo Jimenez University of Stuttgart

Manuel Ernesto Maqueo Martinez University of Stuttgart

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Constrained distributed optimization: A population dynamics approach.J. Barreiro-Gomez, N. Quijano, and C. Ocampo-Martinez. Automatica, (2016)Multi-objective model-free control based on population dynamics and cooperative games.J. Barreiro-Gomez, C. Ocampo-Martinez, J. Maestre, and N. Quijano. CDC, page 5296-5301. IEEE, (2015)Robust Fault Diagnosis of Nonlinear Systems Using Interval Constraint Satisfaction and Analytical Redundancy Relations.S. Tornil-Sin, C. Ocampo-Martinez, V. Puig, and T. Escobet. IEEE Trans. Systems, Man, and Cybernetics: Systems, 44 (1): 18-29 (2014)A Game Theoretical Randomized Method for Large-Scale Systems Partitioning.F. Muros, J. Maestre, C. Ocampo-Martinez, E. Algaba, and E. Camacho. IEEE Access, (2018)Centralized and Distributed Command Governor Approaches for Water Supply Systems Management.F. Tedesco, C. Ocampo-Martinez, A. Casavola, and V. Puig. IEEE Trans. Systems, Man, and Cybernetics: Systems, 48 (4): 586-595 (2018)A distributed predictive control approach for periodic flow-based networks: application to drinking water systems.J. Grosso, C. Ocampo-Martinez, and V. Puig. Int. J. Systems Science, 48 (14): 3106-3117 (2017)Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction.S. Tornil-Sin, C. Ocampo-Martinez, V. Puig, and T. Escobet. Eng. Appl. of AI, 25 (1): 1-10 (2012)Phenomenological based Model of Hydrogen production using an Alkaline self-pressurized Electrolyzer.M. David, H. Alvarez, C. Ocampo-Martinez, and R. Peña. ECC, page 4344-4349. IEEE, (2019)Partitioning approach for large wind farms: Active power control for optimizing power reserve.S. Siniscalchi-Minna, C. Ocampo-Martinez, F. Bianchi, M. De-Prada-Gil, and B. Schutter. CDC, page 3183-3188. IEEE, (2018)Fault detection and isolation based on the combination of a bank of interval observers and invariant sets.F. Xu, F. Stoican, V. Puig, C. Ocampo-Martinez, and S. Olaru. MED, page 807-813. IEEE, (2013)