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Mostrando ítems 1-10 de 15
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
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 ...
Artículo
Multi-robot task allocation problem with multiple nonlinear criteria using branch and bound and genetic algorithms
(Springer Science and Business Media Deutschland GmbH, 2021-11)
The paper proposes the formulation of a single-task robot (ST), single-robot task (SR), time-extended assignment (TA), multi-robot task allocation (MRTA) problem with multiple, nonlinear criteria using discrete variables ...
Ponencia
Distributed Model Predictive Control based on Dual Decomposition with Neural-Network-based Warm Start
(IEEE, 2021)
This work deals with the application of neural networks to speed up the convergence of a distributed model predictive control (DMPC) algorithm based on dual decomposition. While dual decomposition methods are known to ...
Artículo
Robust coalitional model predictive control with predicted topology transitions
(IEEE (Institute of Electrical and Electronics Engineers), 2021)
This paper presents a novel clustering model predictive control technique where transitions to the best cooperation topology are planned over the prediction horizon. A new variable, the so-called transition horizon, is ...
Artículo
Event-MILP-Based Task Allocation for Heterogeneous Robotic Sensor Network for Thermosolar Plants
(Springer, 2021)
In this paper, an event-Mixed Integer Linear Programming (MILP)-based algorithm is proposed to solve the task allocation problem in a Robotic Sensor Network (RSN). A fleet of two types of vehicles is considered, giving, ...