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- W4320184051 abstract "We use genetic programming (GP) to discover data-driven control laws for the suppression of quasiperiodic oscillations in a prototypical thermoacoustic system. We rank the control laws based on a predefined cost function that accounts for the pressure amplitude and the actuation effort. We then breed subsequent generations of control laws via a tournament process. We find that GP closed-loop control is more effective than GP open-loop control and conventional periodic forcing, producing a similarly high degree of amplitude suppression but with the lowest actuation effort. We also find that GP closed-loop control can identify unforeseen actuation mechanisms, providing new insight into the physical coupling between the heat release rate and pressure fields." @default.
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- W4320184051 date "2023-02-01" @default.
- W4320184051 modified "2023-10-01" @default.
- W4320184051 title "Suppression of quasiperiodic thermoacoustic oscillations via genetic programming" @default.
- W4320184051 doi "https://doi.org/10.3397/in_2022_0403" @default.
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