Results 1 to 10 of about 1,043,533 (367)
Adaptive feedback control [PDF]
Proceedings of the IEEE, 1987 Adaptive control is now finding its way into the marketplace after many years of effort. This paper reviews some ideas used to design adaptive control systems. It covers early ideas which primarily attempt to compensate for gain variations and more general methods like gain scheduling, model reference adaptive control, and self-tuning regulators. It is
K J Åström
exaly +3 more sources
Annual Reviews in Control, 2022 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
Improved Observability in Distribution Grids Using Correlational Measurements
IEEE Access, 2022 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
Complexity, 2021 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
On gain adaptation in adaptive control [PDF]
IEEE Transactions on Automatic Control, 2003 The adaptive high-gain output feedback strategy u(t)=-k(t)y(t), (d/dt)k(t)=/spl par/y(t)/spl par//sup 2/ is well established in the context of linear, minimum-phase, m-input m-output systems (A, B, C) with the property that spec(CB)/spl sub//spl Copf//sub +/; the strategy applied to any such linear system achieves the performance objectives of: 1 ...
Achim Ilchmann, Eugene P. Ryan
openaire +1 more source
Output Stabilization of Linear Systems in Given Set
Mathematics, 2023 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
An adjusted ELISpot-based immunoassay for evaluation of SARS-CoV-2-specific T-cell responses
Biosafety and Health, 2022 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
Robustness of higher-order networks with synergistic protection
New Journal of Physics, 2023 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
Frontiers in Physiology, 2022 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
Biosafety and Health, 2023 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