Results 41 to 50 of about 1,348,659 (266)

Generalized Data–Driven Predictive Control: Merging Subspace and Hankel Predictors

Mathematics, 2023
Data–driven predictive control (DPC) is becoming an attractive alternative to model predictive control as it requires less system knowledge for implementation and reliable data is increasingly available in smart engineering systems.
M. Lazar, P. C. N. Verheijen
doaj   +1 more source

Data-Driven Control and Learning Systems

IEEE Transactions on Industrial Electronics, 2017
Any industry processes, aerospace systems, transportation systems, power grid systems, etc. are becoming more and more complex. Modeling the accurate physical models for these plants using first principles may be impossible or infeasible. Even if their physical models are available, they may be too complex to be tractable for controller design, system ...
Zhongsheng Hou, Huijun Gao, Frank L. Lewis   +2 more
openaire   +1 more source

Data-driven control on encrypted data

CoRR, 2020
We provide an efficient and private solution to the problem of encryption-aware data-driven control. We investigate a Control as a Service scenario, where a client employs a specialized outsourced control solution from a service provider. The privacy-sensitive model parameters of the client's system are either not available or variable.
Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas   +2 more
openaire   +2 more sources

The neuron as a direct data-driven controller

Proceedings of the National Academy of Sciences
In the quest to model neuronal function amid gaps in physiological data, a promising strategy is to develop a normative theory that interprets neuronal physiology as optimizing a computational objective. This study extends current normative models, which primarily optimize prediction, by conceptualizing neurons as optimal feedback controllers. We posit
Jason J. Moore, Alexander Genkin, Magnus Tournoy, Joshua L. Pughe-Sanford, Rob R. de Ruyter van Steveninck, Dmitri B. Chklovskii   +5 more
openaire   +3 more sources

Data-Driven Decentralized Algorithm for Wind Farm Control with Population-Games Assistance

Energies, 2019
In wind farms, the interaction between turbines that operate close by experience some problems in terms of their power generation. Wakes caused by upstream turbines are mainly responsible of these interactions, and the phenomena involved in this case is ...
Julian Barreiro-Gomez, Carlos Ocampo-Martinez, Fernando D. Bianchi, Nicanor Quijano   +3 more
doaj   +1 more source

Exploring the Roles of Local Mobility Patterns, Socioeconomic Conditions, and Lockdown Policies in Shaping the Patterns of COVID-19 Spread

Future Internet, 2021
The COVID-19 crisis has shown that we can only prevent the risk of mass contagion through timely, large-scale, coordinated, and decisive actions. This pandemic has also highlighted the critical importance of generating rigorous evidence for decision ...
Mauricio Herrera, Alex Godoy-Faúndez
doaj   +1 more source

Cup‐Like Nuclei Is a Hallmark of DUX4/ERG Acute Lymphoblastic Leukemia and Reveals Cytoplasmic Mitochondria Accumulation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille, Hugo Roux, Odile Fenneteau, Aurélie Caye‐Eude, Alexia Kinoo, Yoann Vial, André Baruchel, Marion Strullu, Elodie Lainey, Hélène Cavé   +9 more
wiley   +1 more source

Localized Data-Driven Consensus Control

IEEE Transactions on Automatic Control
This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems with unknown discrete-time agent dynamics, where each follower computes its local control gain using only their locally collected state and input data.
Zeze Chang, Junjie Jiao, Zhongkui Li
openaire   +2 more sources

Data-driven control via Petersen’s lemma

Automatica, 2022
We address the problem of designing a stabilizing closed-loop control law directly from input and state measurements collected in an open-loop experiment. In the presence of noise in data, we have that a set of dynamics could have generated the collected data and we need the designed controller to stabilize such set of data-consistent dynamics robustly.
Andrea Bisoffi, Claudio De Persis, Pietro Tesi   +2 more
openaire   +6 more sources

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source