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Ranjbar, Roza (author), Segovia Castillo, P. (author), Duviella, Eric (author), Etienne, Lucien (author), Maestre, José M. (author), Camacho, Eduardo F. (author)This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, a digital twin (DT) in the framework of a Matlab-SIC2 is used to reproduce the dynamics of the canal, and...journal article 2024
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Ranjbar, R. (author), Sadowska, A. (author), Maestre, J. M. (author), van Overloop, P.J.A.T.M. (author), De Schutter, B.H.K. (author)We propose a model-predictive control (MPC) approach to solve a human-in-the-loop control problem for a non-automatic networked system with uncertain dynamics. There are no sensors or actuators installed in the system and we involve humans in the loop to travel between various nodes in the network and to provide the remote controller with...journal article 2023
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Chanfreut, P. (author), Keijzer, T. (author), Maestre, J. M. (author), Ferrari, Riccardo M.G. (author)This work presents a coalitional model predictive controller for collaborative vehicle platoons. The overall system is modeled as a string of locally controlled vehicles that can share data through a wireless communication network. The vehicles can dynamically form disjoint groups that coordinate their actions, i.e., the so-called coalitions....journal article 2023
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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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Sadowska, Anna D. (author), Maestre, José María (author), Kassking, Ruud (author), van Overloop, P.J.A.T.M. (author), De Schutter, B.H.K. (author)We propose a model-predictive control (MPC)-based approach to solve a human-in-the-loop control problem for a network system lacking sensors and actuators to allow for a fully automatic operation. The humans in the loop are, therefore, essential; they travel between the network nodes to provide the remote controller with measurements and to...journal article 2023
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Maestre, José M. (author), Velarde, Pablo (author), Ishii, Hideaki (author), Negenborn, R.R. (author)In this paper, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cyber-security. We consider different types of the so-called insider attacks. In particular, we consider the situation where one of the local controllers sends false information to others to manipulate costs for...journal article 2021
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Arauz, Teresa (author), Maestre, José M. (author), Tian, X. (author), Guan, Guanghua (author)A new Proportional-Integral (PI) tuning method based on Linear Matrix Inequalities (LMIs) is presented. In particular, an LMI-based optimal control problem is solved to obtain a sparse feedback that provides the PI tuning. The ASCE Test Canal 1 is used as a case study. Using a linearised model of the canal, different tunings for the design of...journal article 2020
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Lin, N.M. (author), Tian, X. (author), Rutten, M.M. (author), Abraham, E. (author), Maestre, José M. (author), van de Giesen, N.C. (author)This paper presents an extended Model Predictive Control scheme called Multi-objective Model Predictive Control (MOMPC) for real-time operation of a multi-reservoir system. The MOMPC approach incorporates the non-dominated sorting genetic algorithm II (NSGA-II), multi-criteria decision making (MCDM) and the receding horizon principle to solve...journal article 2020
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Shahverdi, Kazem (author), Maestre, J. M. (author), Alamiyan-Harandi, Farinaz (author), Tian, X. (author)Recently, a continuous reinforcement learning model called fuzzy SARSA (state, action, reward, state, action) learning (FSL) was proposed for irrigation canals. The main problem related to FSL is its convergence and generalization in environments with many variables such as large irrigation canals and situations beyond training. Furthermore,...journal article 2020
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Chanfreut, Paula (author), Keijzer, T. (author), Ferrari, Riccardo M.G. (author), Maestre, Jose Maria (author)In this paper a coalitional control and observation scheme is presented in which the coalitions are changed online by enabling and disabling communication links. Transitions between coalitions are made to best balance overall system performance and communication costs. Linear Matrix Inequalities are used to design the controller and observer,...journal article 2020
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Sprong, J. P. (author), Lin, X. (author), Maestre, J. M. (author), Negenborn, R.R. (author)Controlling food quality and reducing waste is one of the most challenging tasks in the food industry, as it is facing high rates of wastage, leading to negative environmental impact. This research focuses on improving the scheduling and control of the supply chain of Irish lamb meat using real-time quality and temperature information....conference paper 2019
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Tian, X. (author), Guo, Y. (author), Negenborn, R.R. (author), Wei, Lingna (author), Lin, N.M. (author), Maestre, José María (author)Operational water resources management needs to adopt operational strategies to re-allocate water resources by manipulating hydraulic structures. Model Predictive Control (MPC) has been shown to be a promising technique in this context. However, we still need to advance MPC in the face of hydrological uncertainties. This study makes the first...journal article 2019
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McNamara, P. (author), Negenborn, R.R. (author), Cañizares, J. C. (author), Farina, M. (author), Maestre, J. M. (author), Trodden, P. (author), Olaru, S. (author)This paper and a second accompanying paper (Olaru et al., 2018) explore the potential of Distributed Predictive Control (DMPC) literature to provide valuable insights into social behaviour. In particular this first paper focuses on the mechanisms of group regulation in social systems. It will be noted that there are major differences between...journal article 2018
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Olaru, S. (author), McNamara, P. (author), Cañizares, J. C. (author), Farina, M. (author), Maestre, J. M. (author), Trodden, P. (author), Negenborn, R.R. (author)This paper and an accompanying paper (McNamara et al., 2018) revisit the Distributed Predictive Control (DMPC) literature and seek to establish links with the social behaviour, focusing in particular on ways in which DMPC could be used to provide insights into the mechanisms of group regulation in social systems. It will be noted that there...journal article 2018
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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
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- Tian, X. (author), Maestre, J.M. (author), van Overloop, P.J. (author), Negenborg, R.R. (author) conference paper 2012