Closed-loop control of thermoacoustic oscillations using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7917
- @InProceedings{Jha:2019:APS/DFD,
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author = "Animesh Kumar Jha and Bo Yin and Larry K. B. Li",
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title = "Closed-loop control of thermoacoustic oscillations
using genetic programming",
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booktitle = "72nd Annual Meeting of the American Physical Society
Division of Fluid Dynamics (APS/DFD 2019)",
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year = "2019",
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volume = "64",
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number = "13",
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address = "Seattle, USA",
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month = "23-26 " # nov,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://repository.ust.hk/ir/Record/1783.1-100536",
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URL = "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=2019\&rft.spage=\&rft.aulast=Jha\&rft.aufirst=Animesh\&rft.atitle=Closed-loop+control+of+thermoacoustic+oscillations+using+genetic+programming\&rft.title=Bulletin+of+the+American+Physical+Society",
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URL = "http://hdl.handle.net/1783.1/100536",
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URL = "https://meetings.aps.org/Meeting/DFD19/Session/NP05",
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URL = "https://meetings.aps.org/Meeting/DFD19/Session/NP05.45",
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abstract = "The use of genetic programming (GP) to discover
model-free control laws for nonlinear flow systems has
gained considerable traction recently, having been
applied for the closed-loop control of recirculation
zones behind backward-facing steps, flow separation
over sharp edges and turbulent mixing layers. This
unsupervised data-driven control strategy has been
shown to outperform conventional open-loop forcing, by
enabling successful individual control laws to spread
their genetic traits from one generation to the next.
In this experimental study, we use GP to discover
model-free control laws for the suppression of
self-excited thermoacoustic oscillations, which are
detrimental to combustion systems. We evaluate every
individual control law in a given generation on a
real-time closed-loop control system equipped with a
single sensor (a pressure transducer) and a single
actuator (a loudspeaker). We rank the effectiveness of
the control laws with a cost function and use a
tournament process to breed subsequent generations of
control laws. We then benchmark the performance of the
final generation against that of open-loop forcing,
providing improved control laws for the suppression of
self-excited thermoacoustic oscillations.",
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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:1783.1-100536",
- }
Genetic Programming entries for
Animesh Kumar Jha
Bo Yin
Larry K B Li
Citations