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Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5715
Abstract: This article deals with the problem of observer‐based feedback compensator design for a linear reaction–advection–diffusion equation subject to a time‐varying diffusion coefficient, a time‐varying advection coefficient, and a space‐time‐varying reaction coefficient. To solve such a…
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Keywords:
observer based;
based feedback;
feedback;
time varying ... See more keywords
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Published in 2019 at "Optimization Letters"
DOI: 10.1007/s11590-018-1344-9
Abstract: In this short note, we present an approach for numeric analysis of a class of nonlinear optimal impulsive control problems with states of bounded variation. The approach is based on feedback necessary optimality condition laying…
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Keywords:
impulsive control;
maximum principle;
control;
based feedback ... See more keywords
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Published in 2019 at "Journal of Environmental Psychology"
DOI: 10.1016/j.jenvp.2019.04.007
Abstract: Abstract When implemented in the field, smart-meter-based feedback interventions typically lag behind the presumed energy-saving potential of the technology. As we and others argue, part of the problem is that such interventions do not work…
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Keywords:
smart meter;
meter based;
based feedback;
environmental attitude ... See more keywords
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Published in 2021 at "Nurse education today"
DOI: 10.1016/j.nedt.2021.104788
Abstract: BACKGROUND There is a need for higher education policy to consider how student nurses might be supported to help them to develop the resilience and mental wellbeing needed to cope with stressful environments. Reviews and…
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Keywords:
task;
compassion;
effects compassion;
feedback ... See more keywords
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Published in 2018 at "Physiotherapy Theory and Practice"
DOI: 10.1080/09593985.2018.1493759
Abstract: ABSTRACT Purpose To explore the effects of home-based high dose accelerometer-based feedback on (1) perception of paretic upper extremity (UE) use; (2) actual amount of use (AOU); and (3) capability. The secondary purpose was to…
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Keywords:
use;
high dose;
accelerometer based;
based feedback ... See more keywords
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Published in 2018 at "Chinese Physics B"
DOI: 10.1088/1674-1056/27/1/010303
Abstract: We investigate the quantum speed limit time (QSLT) of a two-level atom under quantum-jump-based feedback control or homodyne-based feedback control. Our results show that the two different feedback control schemes have different influences on the…
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Keywords:
quantum;
feedback control;
feedback;
speed ... See more keywords
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Published in 2017 at "Physical Review A"
DOI: 10.1103/physreva.96.043815
Abstract: With rotating-wave approximation (RWA), we show in this paper that exciton transmission in a one-dimensional two-level molecule chain embedded in a cavity can be enhanced or suppressed by strong cavity-chain couplings. This exciton transmission is…
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Keywords:
transmission quantum;
transmission;
quantum jump;
exciton transmission ... See more keywords
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Published in 2017 at "Physical Review X"
DOI: 10.1103/physrevx.7.011001
Abstract: Quantum correlations between imprecision and backaction are a hallmark of continuous linear measurements. Here, we study how measurement-based feedback can be used to improve the visibility of quantum correlations due to the interaction of a…
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Keywords:
backaction;
measurement based;
feedback;
quantum correlations ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940053
Abstract: The controlled air-gap of the electromagnetic suspension maglev train is generally 8–10 mm, which makes the effect of the vehicle-track dynamic coupling significant. It is found that the track irregularities especially the track step will…
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Keywords:
gap;
maglev train;
based feedback;
suspension ... See more keywords
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2
Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2023.123186
Abstract: In this paper, a data-based feedback relearning algorithm is proposed for the robust control problem of uncertain nonlinear systems. Motivated by the classical on-policy and off-policy algorithms of reinforcement learning, the online feedback relearning (FR)…
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Keywords:
based feedback;
relearning algorithm;
algorithm;
feedback relearning ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3146930
Abstract: Learning-based methods are powerful in handling complex scenarios. However, it is still challenging to use learning-based methods under uncertain environments while stability, safety, and real-time performance of the system are desired to guarantee. In this…
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Keywords:
system;
based feedback;
control;
tracking control ... See more keywords