Results 1 to 10 of about 2,359,184 (334)
Improved Observability in Distribution Grids Using Correlational Measurements
This paper develops a novel pseudo-measurement construct termed a Correlational Measurement (CM) to improve observability and state estimation accuracy. CMs utilize the correlation between similar classes of loads and DERs.
Yohan John +4 more
doaj +1 more source
Evolving Nature of Human Contact Networks with Its Impact on Epidemic Processes
Human contact networks constitute a multitude of individuals and pairwise contacts among them. However, the dynamic nature, which generates the evolution of human contact networks, of contact patterns is unknown yet.
Cong Li, Jing Li, Xiang Li
doaj +1 more source
Neuromodulation is central to the adaptation and robustness of animal nervous systems. This paper explores the classical paradigm of indirect adaptive control to design neuromodulatory controllers in conductance-based neuronal models. The adaptive control of maximal conductance parameters is shown to provide a methodology aligned with the central ...
Raphael Schmetterling +2 more
openaire +2 more sources
Output Stabilization of Linear Systems in Given Set
This paper presents a method for designing control laws to achieve output stabilization of linear systems within specified sets, even in the presence of unknown bounded disturbances. The approach consists of two stages.
Ba Huy Nguyen, Igor B. Furtat
doaj +1 more source
Selfâadapting control charts [PDF]
When the distributional form of the observations differs from normality, standard control charts are often prone to serious errors. Such model errors can be avoided by using (modified) nonparametric control charts. Unfortunately, these control charts suffer from large stochastic errors caused by estimation.
Albers, Willem, Kallenberg, Wilbert C.M.
openaire +2 more sources
An adjusted ELISpot-based immunoassay for evaluation of SARS-CoV-2-specific T-cell responses
Like antibody evaluation, using an effective antigen-specific T-cell immunity assessment method in coronavirus disease 2019 (COVID-19) patients, survivors and vaccinees is crucial for understanding the immune persistence, prognosis assessment, and ...
Hao Lin +7 more
doaj +1 more source
On the necessity of identifying the true parameter in adaptive LQ control [PDF]
In adaptive control problems one may drop the requirement of identifying the true system in order to simplify the problem of control.
Polderman, J.W.
core +9 more sources
Robustness of higher-order networks with synergistic protection
From chemical reactions to human communications, higher-order interactions are ubiquitous in real-world networks. Entities within higher-order interactions often exhibit collective behaviors that could create synergistic effects on robustness of the ...
Qihang Chen +3 more
doaj +1 more source
Network Representation Learning With Community Awareness and Its Applications in Brain Networks
Previously network representation learning methods mainly focus on exploring the microscopic structure, i.e., the pairwise relationship or similarity between nodes.
Min Shi, Bo Qu, Xiang Li, Cong Li
doaj +1 more source
Understanding how human leukocyte antigen (HLA) polymorphism affects both the susceptibility and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection will help to identify individuals at higher risk to better manage and ...
Xin Wang +12 more
doaj +1 more source

