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Mostrando ítems 1-10 de 26
Artículo
Hierarchical set-point optimization and feedforward strategy for collector defocusing of a solar plant
(Springer, 2021)
One of the main control objectives in parabolic trough solar thermal plants is to maintain the outlet temperature around an operating point. For this, a synthetic oil flow is used as the main control variable. However, ...
Artículo
Sea trial results of a predictive algorithm at the Mutriku Wave power plant and controllers assessment based on a detailed plant model
(Elsevier, 2020)
Improving the power production in wave energy plants is essential to lower the cost of energy production from this type of installations. Oscillating Water Column is among the most studied technologies to convert the wave ...
Artículo
Coalitional Model Predictive Control on Freeways Traffic Networks
(IEEE (Institute of Electrical and Electronics Engineers), 2020)
This paper discusses the application of coalitional model predictive control (MPC) to freeways traffic networks, where the goal is reducing the time spent by the drivers through a dynamic setting of variable speed limits ...
Ponencia
Chance-constrained MPC for voronoi-based multi-agent system deployment
(Elsevier B.V., 2020)
This paper proposes a new chance-constrained model predictive control (CCMPC) algorithm with state estimation applied to the two-dimensional deployment of a multi-vehicle system where each agent is subject to process noise ...
Artículo
A Linear Programming Approach to Computing Safe Sets for Software Rejuvenation
(IEEE (Institute of Electrical and Electronics Engineers), 2021)
Software rejuvenation was born to fix operating system faults by periodically refreshing the run-time code and data. This mechanism has been extended to protect control systems from cyber-attacks. This letter proposes a ...
Ponencia
A New ℓ-step Neighbourhood Distributed Moving Horizon Estimator
(IEEE, 2021-12)
This paper focuses on Distributed State Estimation over a peer-to-peer sensor network composed by possible low-computational sensors. We propose a new ℓ-step Neighbourhood Distributed Moving Horizon Estimation technique ...
Artículo
A light clustering model predictive control approach to maximize thermal power in solar parabolic-trough plants
(Springer, 2021)
This article shows how coalitional model predictive control (MPC) can be used to maximize thermal power of large-scale solar parabolic-trough plants. This strategy dynamically generates clusters of loops of collectors ...
Artículo
A survey on clustering methods for distributed and networked control systems
(Elsevier Ltd, 2021)
Clustering strategies are becoming increasingly relevant to boost the scalability of distributed control methods by focusing the cooperation efforts on highly coupled agents. They are also relevant in systems where ...
Artículo
Clustering Switching Regions for Feedback Controllers: A Convex Approach
(IEEE (Institute of Electrical and Electronics Engineers), 2021-05-26)
Coalitional control groups dynamically local controllers into clusters that jointly determine their control actions to maximize control performance while minimizing the cooperation burden. This work presents linear matrix ...
Ponencia
No-Regret Learning for Coalitional Model Predictive Control
(Elsevier, 2020)
In this paper, we introduce a learning approach for the controller structure in coalitional model predictive control (MPC) schemes. In this context, the local control entities can dynamically perform in a decentralized ...