Zobrazeno 1 - 10
of 459
pro vyhledávání: '"John Lygeros"'
Publikováno v:
Advances in Applied Energy, Vol 10, Iss , Pp 100130- (2023)
Due to their thermal inertia, buildings equipped with electric heating and cooling systems can help to stabilize the electricity grid by shifting their load in time, and can thus facilitate energy flexible urban energy systems with the right control
Externí odkaz:
https://doaj.org/article/ddd1a7f94c494be2b09e1bcce90fecea
Publikováno v:
Frontiers in Immunology, Vol 10 (2019)
Germinal centers (GCs) are specialized compartments within the secondary lymphoid organs, where B cells proliferate, differentiate, and mutate their antibody genes. Upon exit from the GC, B cells terminally differentiate into plasma cells or memory B
Externí odkaz:
https://doaj.org/article/d079a356c3ab4253935d1ab5ca4450d1
Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection.
Autor:
Andreas Milias-Argeitis, Ana Paula Oliveira, Luca Gerosa, Laura Falter, Uwe Sauer, John Lygeros
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 3, p e1004784 (2016)
Understanding the structure and function of complex gene regulatory networks using classical genetic assays is an error-prone procedure that frequently generates ambiguous outcomes. Even some of the best-characterized gene networks contain interactio
Externí odkaz:
https://doaj.org/article/d8f1946b560241f1a2341b6095dcd1bc
Autor:
Mohammad Khosravi, Christopher Konig, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan
Publikováno v:
IEEE Transactions on Industrial Electronics, 70 (2)
This article presents an automated, model-free, data-driven method for the safe tuning of PID cascade controller gains based on Bayesian optimization. The optimization objective is composed of data-driven performance metrics and modeled using Gaussia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bcf859a4bef81ed9a06d28a3d53c442
https://doi.org/10.1109/tie.2022.3158007
https://doi.org/10.1109/tie.2022.3158007
Autor:
Suli Zou, John Lygeros
Publikováno v:
IEEE Transactions on Automatic Control, 68 (2)
In this article, we address the problem of stochastic generalized Nash equilibrium (SGNE) seeking, where a group of noncooperative heterogeneous players aim at minimizing their expected cost under some unknown stochastic effects. Each player's strate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d19310273bac78d9b535b26ad588f8c9
https://doi.org/10.1109/tac.2022.3151225
https://doi.org/10.1109/tac.2022.3151225
Publikováno v:
Computer, 55 (11)
Targeted digitalization for industrial cyberphysical systems is yet to be consistently deployed across the entire value chain. This is mainly due to the lack of implementable algorithms that integrate the information and operation technology layers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6c17848f5bf0accd0bd3dc97d90430d
https://doi.org/10.1109/mc.2022.3198196
https://doi.org/10.1109/mc.2022.3198196
Distributed Model Predictive Control With Reconfigurable Terminal Ingredients for Reference Tracking
Publikováno v:
IEEE Transactions on Automatic Control, 67 (11)
Various efforts have been devoted to developing stabilizing distributed model predictive control (MPC) schemes for tracking piecewise constant references. In these schemes, terminal sets are usually computed offline and used in the MPC online phase t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f88325b59cda939ba0727e7e0649e68b
https://doi.org/10.1109/tac.2021.3133494
https://doi.org/10.1109/tac.2021.3133494
Publikováno v:
Additive Manufacturing, 72
When manufacturing parts using material extrusion additive manufacturing and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on the print trajectory orientation. We conduct non-planar slicing and opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1077acc8e7e02e44a77ea69139ff67c
https://hdl.handle.net/20.500.11850/617949
https://hdl.handle.net/20.500.11850/617949
Publikováno v:
Journal of Thermal Spray Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e01c07188c70d68271be156c3b069f7
https://doi.org/10.1007/s11666-023-01600-7
https://doi.org/10.1007/s11666-023-01600-7
Publikováno v:
IEEE Transactions on Automatic Control, 68 (5)
We introduce a general framework for robust data-enabled predictive control (DeePC) for linear time-invariant systems, which enables us to obtain robust and optimal control in a receding-horizon fashion based on inexact input and output data. Robust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f424c14a7c8f0e22db3d9e7ca20f7fa0