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Mostrando ítems 1-8 de 8
Artículo
Non-centralized Control for Flow-based Distribution Networks: A Game-theoretical Insight
(Elsevier, 2017-09)
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 ...
Artículo
On the Comparison of Stochastic Model Predictive Control Strategies Applied to a Hydrogen-based Microgrid
(Elsevier, 2017-03)
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 ...
Artículo
Coalitional model predictive control of parabolic-trough solar collector fields with population-dynamics assistance
(Elsevier, 2023-03)
Parabolic-trough solar collector fields are large-scale systems, so the application of centralized optimization-based control methods to these systems is often not suitable for real-time control. As such, this paper ...
Artículo
Atomicity and Non-anonymity in Population-like Games for the Energy Efficiency of Hybrid-power HetNets
(IEEE, 2018-12)
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 ...
Artículo
Time-Varying Scheme for Noncentralized Model Predictive Control of Large-Scale Systems
(Hindawi Publishing Corporation, 2015)
The noncentralized 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 ...
Artículo
A Game Theoretical Randomized Method for Large-Scale Systems Partitioning
(IEEE, 2018)
In this paper, a game theory-based partitioning algorithm for large-scale systems (LSS) is proposed. More speci cally, a game over nodes is introduced in a model predictive control framework. The Shapley value of this ...
Artículo
On the Comparison of Stochastic Model Predictive Control Strategies Applied to a Hydrogen-based Microgrid
(Elsevier, 2017)
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 ...
Artículo
Stock Management in Hospital Pharmacy using Chance-Constrained Model Predictive Control
(Elsevier, 2016-05)
One of the most important problems in the pharmacy department of a hospital is stock management. The clinical need for drugs must be satisfied with limited work labor while minimizing the use of economic resources. The ...