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Published in 2017 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2017.08.184
Abstract: Abstract Molten Carbonate Fuel Cell (MCFC) has been emerging as a promising renewable power system. It is still challenging to operate the MCFC to meet its varying demands because of its nonlinearity and complex dynamics.…
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Keywords:
auto tuning;
based pid;
tuning control;
mcfc operation ... See more keywords
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Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.5510
Abstract: In this Letter, an auto-tuning system based on a variable synchronous switched capacitor is proposed for a phased-array high-intensity focused ultrasound system. The proposed system can automatically compensate the reactive power and impedance drift of…
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Keywords:
auto tuning;
system;
array high;
phased array ... See more keywords
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Published in 2018 at "Indian Chemical Engineer"
DOI: 10.1080/00194506.2017.1298479
Abstract: Abstract The present work proposes an improved analysis of a simultaneous relay auto-tuning method to calculate the maximum controller gains for two-input two-output (TITO) systems by considering the higher order harmonics. Improved results are obtained…
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Keywords:
auto tuning;
tito systems;
case studies;
studies improved ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150777
Abstract: This paper proposes a new online auto-tuning method to improve the accuracy and reduce the tuning time of permanent magnet synchronous motor (PMSM) drives. Under varying loads, the ability to tune the controllers of PMSM…
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Keywords:
pmsm drives;
tuning controller;
method;
mlpso means ... See more keywords
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1
Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3048660
Abstract: Successful robotic operation in stochastic environments relies on accurate characterization of the underlying probability distributions, yet this is often imperfect due to limited knowledge. This work presents a control algorithm that is capable of handling…
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Keywords:
ilqr risk;
control;
risk auto;
risk ... See more keywords
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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3169410
Abstract: Multi-threading is a common way for programs to benefit from the multi/many-core design. However, the performance of some parallel programs does not increase/even decrease as the number of cores/threads increases. Our study shows that the…
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Keywords:
auto tuning;
thread auto;
performance;
number cores ... See more keywords
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Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3279233
Abstract: The heterogeneity of Deep Learning models, libraries, and hardware poses an important challenge for improving model inference performance. Auto-tuners address this challenge via automatic tensor program optimization towards a target-device. However, auto-tuners incur a substantial…
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Keywords:
auto;
tensor programs;
infrastructure;
measurement ... See more keywords