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Castelletti, Andrea (author), Ficchì, Andrea (author), Cominola, Andrea (author), Segovia Castillo, P. (author), Giuliani, Matteo (author), Wu, Wenyan (author), Lucia, Sergio (author), Ocampo-Martinez, Carlos (author), De Schutter, B.H.K. (author), Maestre, José María (author)
Model Predictive Control (MPC) has recently gained increasing interest in the adaptive management of water resources systems due to its capability of incorporating disturbance forecasts into real-time optimal control problems. Yet, related literature is scattered with heterogeneous applications, case-specific problem settings, and results...
journal article 2023
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Ananduta, Wicak (author), Pippia, T.M. (author), Ocampo-Martinez, Carlos (author), Sijs, J. (author), De Schutter, B.H.K. (author)
A novel partitioning approach for linear switching large-scale systems is presented. We assume that the modes of the switching system are unknown a priori but can be detected. We propose an online partitioning scheme that can partition the system when the mode switches, thus adapting the partition to the mode. Moreover, after the system has...
journal article 2019
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Nunez Vicencio, A.A. (author), Ocampo-Martinez, C. (author), Maestre, J.M. (author), De Schutter, B.H.K. (author)
The Non-Centralized Model Predictive Control (NC-MPC) framework refers in this paper to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a centralized computation. Within this framework, we...
journal article 2015