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Adaptive Control with Approximated Policy Search Approach [PDF]
ITB Journal of Engineering Science, 2010 Most of existing adaptive control schemes are designed to minimize error between plant state and goal state despite the fact that executing actions that are predicted to result in smaller errors only can mislead to non-goal states. We develop an adaptive
Agus Naba
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Adaptive tracking control of nonholonomic systems: an example [PDF]
, 1999 We study an example of an adaptive (state) tracking control problem for a four-wheel mobile robot, as it is an illustrative example of the general adaptive state-feedback tracking control problem. It turns out that formulating the adaptive state-feedback
Lefeber, Erjen, Nijmeijer, Henk
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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
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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
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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
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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
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Selfâadapting control charts [PDF]
Statistica Neerlandica, 2006 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.
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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
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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
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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
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