Performance evaluation of GPU parallelization, space-time adaptive algorithms, and their combination for simulating cardiac electrophysiology.
Sign Up to like & getrecommendations! Published in 2018 at "International journal for numerical methods in biomedical engineering"
DOI: 10.1002/cnm.2913
Abstract: The use of computer models as a tool for the study and understanding of the complex phenomena of cardiac electrophysiology has attained increased importance nowadays. At the same time, the increased complexity of the biophysical… read more here.
Keywords: cardiac electrophysiology; space time; time; geometry ... See more keywords
Fast finite‐time adaptive event‐triggered tracking for uncertain nonlinear systems
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5196
Abstract: This article investigates the fast finite‐time adaptive tracking control via event‐triggered mechanism for a class of high‐order uncertain nonlinear systems. An adaptive tracking controller is constructed for the first time by utilizing a new fast… read more here.
Keywords: time; finite time; time adaptive; fast finite ... See more keywords
Backstepping-Based Finite-Time Adaptive Fuzzy Control of Unknown Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-018-0505-4
Abstract: This paper proposes a backstepping-based finite-time adaptive fuzzy controller (BFAFC) for a nonlinear system in the present of unknown and uncertainty terms. A nonsingleton type-2 fuzzy system is presented to online approximate the unknown term… read more here.
Keywords: finite time; system; based finite; backstepping based ... See more keywords
A reinforcement learning based algorithm for personalization of digital, just-in-time, adaptive interventions
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102062
Abstract: Suboptimal health related behaviors and habits; and resulting chronic diseases are responsible for majority of deaths globally. Studies show that providing personalized support to patients yield improved results by preventing and/or timely treatment of these… read more here.
Keywords: adaptive interventions; reinforcement learning; reinforcement; learning based ... See more keywords
Fixed-time adaptive model reference sliding mode control for an air-to-ground missile
Sign Up to like & getrecommendations! Published in 2019 at "Chinese Journal of Aeronautics"
DOI: 10.1016/j.cja.2018.10.008
Abstract: Abstract This paper addresses the fixed-time adaptive model reference sliding mode control for an air-to-ground missile associated with large speed ranges, mismatched disturbances and un-modeled dynamics. Firstly, a sliding mode surface is developed by the… read more here.
Keywords: time; sliding mode; time adaptive; model reference ... See more keywords
Space–time adaptive finite elements for nonlocal parabolic variational inequalities
Sign Up to like & getrecommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2019.04.019
Abstract: Abstract This article considers the error analysis of finite element discretizations and adaptive mesh refinement procedures for nonlocal dynamic contact and friction, both in the domain and on the boundary. For a large class of… read more here.
Keywords: parabolic variational; time adaptive; space time; variational inequalities ... See more keywords
Continuous–discrete-time adaptive observers for nonlinear systems with sampled output measurements
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1324924
Abstract: ABSTRACT This paper considers the continuous–discrete-time adaptive observer (CDAO) design for a class of nonlinear systems with unknown constant parameters and sampled output measurements. The proposed observer is actually an impulsive system, since the observer… read more here.
Keywords: discrete time; output; sampled output; continuous discrete ... See more keywords
Sparse Bayesian Learning-Based Space-Time Adaptive Processing With Off-Grid Self-Calibration for Airborne Radar
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2866497
Abstract: Space–time adaptive processing (STAP) for airborne radar has recently been enriched owing to the development of methods based on sparse recovery techniques. These methods have shown advantages over the conventional ones. However, there are still… read more here.
Keywords: space time; adaptive processing; sparse bayesian; bayesian learning ... See more keywords
Finite Time Adaptive Neural Dynamic Surface Control of Nonstrict Feedback Nonlinear Systems Including Dead-Zone and Full State Restrictions
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DOI: 10.1109/access.2020.3030666
Abstract: In this paper, finite time adaptive neural network (NN) tracking control is investigated for a class of uncertain nonstrict feedback systems with unknown dead-zone and unmodeled dynamics as well as full state restrictions. Using the… read more here.
Keywords: finite time; time; control; time adaptive ... See more keywords
Finite-Time Adaptive NN Backstepping Dynamic Surface Control for Input-Delay Fractional-Order Nonlinear Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3234426
Abstract: This article focuses on a finite-time adaptive dynamic surface control (DSC) approach for a kind of nonstrict fractional-order nonlinear systems (FONSs) with input delay. An auxiliary compensation function is presented by using the integral function… read more here.
Keywords: fractional order; time adaptive; finite time; input delay ... See more keywords
Detection of Atrial Fibrillation From Variable-Duration ECG Signal Based on Time-Adaptive Densely Network and Feature Enhancement Strategy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3221464
Abstract: Atrial fibrillation (AF) is one of the clinic's most common arrhythmias with high morbidity and mortality. Developing an intelligent auxiliary diagnostic model of AF based on a body surface electrocardiogram (ECG) is necessary. Convolutional neural… read more here.
Keywords: network; variable duration; duration ecg; duration ... See more keywords