Now showing items 1-18 of 18

    • A game theoretical randomized method for large-scale systems partitioning 

      Muros Ponce, Francisco; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Algaba Durán, Encarnación; Fernández Camacho, Eduardo (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Article
      Open Access
      In this paper, a game theory-based partitioning algorithm for large-scale systems (LSS) is proposed. More specifically, a game over nodes is introduced in a model predictive control framework. The Shapley value of this ...
    • A resilient approach for distributed MPC-based economic dispatch in interconnected microgrids 

      Ananduta, Wayan Wicak; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Ishii, Hideaki (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Economic dispatch of interconnected microgrids that is based on distributed model predictive control (DMPC) requires the cooperation of all agents (microgrids). This paper discusses the case in which some of the agents ...
    • An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy 

      Maestre Torreblanca, José María; Velarde, Pablo; Jurado, Isabel; Ocampo-Martínez, Carlos; Isla Tejera, Beatriz; del Prado, José Ramón (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Open Access
      Inventory management is one of the main tasks that the pharmacy department has to carry out in a hospital. It is a complex problem that requires to establish a tradeoff between different and contradictory optimization ...
    • An application of the Shapley value to perform system partitioning 

      Muros Ponce, Francisco; Maestre Torreblanca, José María; Algaba Durán, Encarnación; Ocampo-Martínez, Carlos; Fernández Camacho, Eduardo (2015)
      Conference report
      Open Access
      We introduce a new method to perform the partitioning of non-centralized dynamical linear systems based on the relevance of the possible interconnections among the smallest components of the system. In particular, we analyze ...
    • Application of robust model predictive control to a renewable hydrogen-based microgrid 

      Velarde, Pablo; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Bordons Alba, Carlos (2016)
      Conference report
      Open Access
      In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, ...
    • Atomicity and non-anonymity in population-like games for the energy efficiency of hybrid-power HetNets 

      Fletscher, L.A.; Barreiro Gómez, Julián; Ocampo-Martínez, Carlos; Valencia Peroni, C.; Maestre Torreblanca, José María (2018-11-02)
      Article
      Open Access
      In this paper, the user–base station (BS) association problem is addressed to reduce grid consumption in heterogeneous cellular networks (HetNets) powered by hybrid energy sources (grid and renewable energy). The paper ...
    • Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy 

      Maestre Torreblanca, José María; Ocampo-Martínez, Carlos (2014)
      Conference report
      Open Access
      This extended abstract addresses the preliminary results of applying uncertainty handling strategies and advanced control techniques to the inventary management of hospitality pharmacy. Inventory management is one of the ...
    • Energy efficiency of hybrid-power hetnets: a population-like games approach 

      Fletscher, L.A.; Barreiro Gómez, Julián; Ocampo-Martínez, Carlos; Maestre Torreblanca, José María; Valencia Peroni, C. (2018)
      Conference report
      Open Access
      In this paper, a distributed control scheme based on population games is proposed. The controller is in charge of dealing with the energy consumption problem in a Heterogeneous Cellular Network (HetNet) powered by hybrid ...
    • Modular feedback control of networked systems by clustering: a drinking water network case study 

      Maestre Torreblanca, José María; Lopez Rodriguez, Francisco; Muros Ponce, Francisco; Ocampo-Martínez, Carlos (2021)
      Article
      Open Access
      This article presents a method based on linear matrix inequalities (LMIs) for designing a modular feedback control law, whose synthesis guarantees the system stability, whilst switching to different network topologies. ...
    • Multi-objective model-free control based on population dynamics and cooperative games 

      Barreiro Gómez, Julián; Ocampo-Martínez, Carlos; Maestre Torreblanca, José María; Quijano Silva, Nicanor (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Conference report
      Open Access
      This work solves a model-free resource allocation problem with two objectives. These objectives represent both cooperation and competition directions. It is proposed a solution that combines a centralized cooperative game ...
    • Non-centralized control for flow-based distribution networks: a game-theoretical insight 

      Barreiro Gómez, Julián; Ocampo-Martínez, Carlos; Quijano Silva, Nicanor; Maestre Torreblanca, José María (2017-09-01)
      Article
      Open Access
      This paper solves a data-driven control problem for a flow-based distribution network with two objectives: a resource allocation and a fair distribution of costs. These objectives represent both cooperation and competition ...
    • On the assessment of tree-based and chance-constrained predictive control approaches applied to drinking water networks 

      Grosso Pérez, Juan Manuel; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Puig Cayuela, Vicenç (International Federation of Automatic Control (IFAC), 2014)
      Conference report
      Open Access
      Water systems are a challenging problem because of their size and exposure to uncertain influences such as the unknown demands or the meteorological phenomena. In this paper, two different stochastic programming approaches ...
    • On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid 

      Velarde, Pablo; Valverde Isorna, Luis; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Bordons Alba, Carlos (2017-03-01)
      Article
      Open Access
      In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented. To this end, ...
    • Resilient distributed energy management for systems of interconnected microgrids 

      Ananduta, Wayan Wicak; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Ishii, Hideaki (IEEE Press, 2018)
      Conference report
      Open Access
      In this paper, distributed energy management of interconnected microgrids, which is stated as a dynamic economic dispatch problem, is studied. Since the distributed approach requires cooperation of all local controllers, ...
    • Resilient distributed model predictive control for energy management of interconnected microgrids 

      Ananduta, Wayan Wicak; Maestre Torreblanca, José María; Ocampo-Martínez, Carlos; Ishii, Hideaki (2019-01-01)
      Article
      Open Access
      Distributed energy management of interconnected microgrids that is based on Model Predictive Control (MPC) relies on the cooperation of all agents (microgrids). This paper discusses the case in which some of the agents ...
    • Stochastic model predictive control approaches applied to drinking water networks 

      Grosso Pérez, Juan Manuel; Velarde, Pablo; Ocampo-Martínez, Carlos; Maestre Torreblanca, José María; Puig Cayuela, Vicenç (2017-07-01)
      Article
      Open Access
      Control of drinking water networks is an arduous task, given their size and the presence of uncertainty in water demand. It is necessary to impose different constraints for ensuring a reliable water supply in the most ...
    • Stock management in hospital pharmacy using chance-constrained model predictive control 

      Jurado, Isabel; Maestre Torreblanca, José María; Velarde, Pablo; Ocampo-Martínez, Carlos; Fernandez, Isabel; Isla Tejera, Beatriz; del Prado, José Ramón (Elsevier, 2016-05-01)
      Article
      Open Access
      One of the most important problems in the pharmacy department of a hospital is stock management. The clinical needs of drugs must be satisfied with limited work labor while minimizing the use of economical resources. The ...
    • Time-varying scheme for non-centralized model predictive control of large-scale systems 

      Nuñez Vicencio, Alfredo; Ocampo-Martínez, Carlos; Maestre Torreblanca, José María; De Schutter, Bart (2015)
      Article
      Open Access
      The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can ...