Buscar
Mostrando ítems 1-10 de 53
Artículo
Constrained numerical deconvolution using orthogonal polynomials
(Elsevier, 2024-01)
In this article, we present an enhanced version of Cutler's deconvolution method to address the limitations of the original algorithm in estimating realistic input and output parameters. Cutler's method, based on orthogonal ...
Artículo
Node aggregation for enhancing PageRank
(IEEE-Institute of Electrical and Electronics Engineers, 2017)
In this paper, we study the problem of node aggregation under different perspectives for increasing PageRank of some nodes of interest. PageRank is one of the parameters used by the search engine Google to determine the ...
Artículo
Design of PI Controllers for Irrigation Canals based on Linear Matrix Inequalities
(MDPI, 2020-03)
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. ...
Artículo
Control predictivo de sistemas ciberfísicos
(Universitat Politècnica de València, 2022)
El control predictivo engloba a una familia de controladores que replanifican continuamente las entradas del sistema durante un cierto horizonte temporal con el fin de optimizar su evolución esperada conforme a un criterio ...
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 ...
Artículo
Cyber-security in networked and distributed model predictive control
(Elsevier, 2022)
Distributed model predictive control (DMPC) schemes have become a popular choice for networked control problems. Under this approach, local controllers use a model to predict its subsystem behavior during a certain horizon ...
Artículo
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning
(Elsevier, 2023)
This article combines data and tube-based predictive control to deal with systems with bounded parametric uncertainty. This integration generates robustly feasible control sequences that can also be exploited in cooperative ...
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 ...
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 ...