Closed-loop control of a globally unstable jet using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Yang:2020:APS,
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author = "Zhijian MAE Yang and Bo Yin and Yu Guan and
Stephane Pierre Andre Redonnet and Yuanhang Zhu and
Vikrant Gupta and Larry K. B. Li",
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title = "Closed-loop control of a globally unstable jet using
genetic programming",
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booktitle = "73rd Annual Meeting of the APS Division of Fluid
Dynamics",
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year = "2020",
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volume = "65",
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number = "13",
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pages = "J03.00006",
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address = "Virtual",
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month = nov # " 22-24",
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publisher = "Bulletin of the American Physical Society",
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keywords = "genetic algorithms, genetic programming",
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bibsource = "OAI-PMH server at repository.ust.hk",
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language = "English",
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oai = "oai:repository.ust.hk:1783.1-107418",
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URL = "http://hdl.handle.net/1783.1/107418",
-
URL = "http://repository.ust.hk/ir/Record/1783.1-107418",
-
broken = "http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004\&rft_val_fmt=info:ofi/fmt:kev:mtx:journal\&rfr_id=info:sid/HKUST:SPI\&rft.genre=article\&rft.issn=\&rft.volume=\&rft.issue=\&rft.date=2020\&rft.spage=\&rft.aulast=Yang\&rft.aufirst=Zhijian\&rft.atitle=Closed-loop+control+of+a+globally+unstable+jet+using+genetic+programming\&rft.title
",
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URL = "https://meetings.aps.org/Meeting/DFD20/Session/J03.6",
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URL = "https://absimage.aps.org/image/DFD20/MWS_DFD20-2020-001947.pdf",
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abstract = "When the density of a jet is sufficiently below that
of its surroundings, it can become globally unstable,
transitioning from a steady state to a self-excited
state characterised by axisymmetric limit-cycle
oscillations. We present experiments on the closed-loop
control of such oscillations using an unsupervised
data-driven model-free framework based on genetic
programming (GP). Our implementation of this GP-based
control framework relies on a hot-wire probe for
sensing and a loudspeaker for actuation. We first
initialize a generation of candidate control laws and
evaluate their individual performance on the basis of a
cost function that accounts for the amplitude of the
global mode in a low-density jet and the actuation
effort. We then breed further generations of control
laws by enrolling them in a tournament and by executing
genetic operations such as mutation, crossover,
replication and elitism. By benchmarking the best
GP-based control law against the best periodic forcing
strategy found via conventional open-loop mapping, we
show that GP-based control can provide a more efficient
means of global mode suppression, offering new insight
into the physics of hydrodynamically self-excited
jets.",
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notes = "Jets: Control
The Hong Kong University of Science and Technology",
- }
Genetic Programming entries for
Zhijian MAE Yang
Bo Yin
Yu Guan
Stephane Pierre Andre Redonnet
Yuanhang Zhu
Vikrant Gupta
Larry K B Li
Citations