Zobrazeno 1 - 10
of 10 314
pro vyhledávání: '"A, Alamo"'
Autor:
Martinez, N. C., Paron, S., Ortega, M. E., Petriella, A., Álamo, A., Brook, M., Carballo, C., Heberling, T.
The sulfur content in dense molecular regions of the interstellar medium is highly depleted in comparison to diffuse clouds. The reason of this phenomenon is unclear, thus it is necessary to carry out observational studies of sulfur-bearing species t
Externí odkaz:
http://arxiv.org/abs/2411.00539
Autor:
Canossa-Gosteinski, Marco A., Chies-Santos, Ana L., Furlanetto, Cristina, Bonatto, Charles J., Flores-Freitas, Rodrigo, Schoenell, William, Beasley, Michael A., Overzier, Roderik, Santiago, Basilio X., Pieres, Adriano, Zanatta, Emílio J. B., Alamo-Martinez, Karla A., Balbinot, Eduardo, Queiroz, Anna B. A., Alves-Brito, Alan
Understanding faint dwarf galaxies is fundamental to the development of a robust theory of galaxy formation on small scales. Since the discovery of a population of ultra diffuse galaxies (UDGs) rich in globular clusters (GCs) in Coma, an increasing n
Externí odkaz:
http://arxiv.org/abs/2409.10205
Chance constraints ensure the satisfaction of constraints under uncertainty with a desired probability. This scheme is unfortunately sensitive to assumptions of the probability distribution of the uncertainty, which are difficult to verify. The uncer
Externí odkaz:
http://arxiv.org/abs/2409.01177
The main benefit of model predictive control (MPC) is its ability to steer the system to a given reference without violating the constraints while minimizing some objective. Furthermore, a suitably designed MPC controller guarantees asymptotic stabil
Externí odkaz:
http://arxiv.org/abs/2406.16496
Autor:
Krupa, Pablo, Köhler, Johannes, Ferramosca, Antonio, Alvarado, Ignacio, Zeilinger, Melanie N., Alamo, Teodoro, Limon, Daniel
This paper provides a comprehensive tutorial on a family of Model Predictive Control (MPC) formulations, known as MPC for tracking, which are characterized by including an artificial reference as part of the decision variables in the optimization pro
Externí odkaz:
http://arxiv.org/abs/2406.06157
The number and dynamic nature of web and mobile applications presents significant challenges for assessing their compliance with data protection laws. In this context, symbolic and statistical Natural Language Processing (NLP) techniques have been em
Externí odkaz:
http://arxiv.org/abs/2405.20900
Conformal predictions make it possible to define reliable and robust learning algorithms. But they are essentially a method for evaluating whether an algorithm is good enough to be used in practice. To define a reliable learning framework for classif
Externí odkaz:
http://arxiv.org/abs/2403.10368
Autor:
Roh, Heejung, Kim, Dong-Ha, Cho, Yeongsu, Jo, Young-Moo, del Alamo, Jesús A., Kulik, Heather J., Dincă, Mircea, Gumyusenge, Aristide
Metal-organic frameworks (MOFs) are promising materials for gas sensing but are often limited to single-use detection. We demonstrate a hybridization strategy synergistically deploying conductive MOFs (cMOFs) and conductive polymers (cPs) as two comp
Externí odkaz:
http://arxiv.org/abs/2403.08914
Publikováno v:
in IEEE Control Systems Letters, vol. 8, pp. 1499-1504, 2024
Model Predictive Control (MPC) is a popular control approach due to its ability to consider constraints, including input and state restrictions, while minimizing a cost function. However, in practice, these constraints can result in feasibility issue
Externí odkaz:
http://arxiv.org/abs/2403.04601
The main objective of tracking control is to steer the tracking error, that is the difference between the reference and the output, to zero while the plant's operation limits are satisfied. This requires that some assumptions on the evolution of the
Externí odkaz:
http://arxiv.org/abs/2403.02973