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Professor Rowley's research interests lie at the intersection of dynamical systems, control theory, and fluid mechanics, and focus on reduced-order models suitable for analysis and control design. The broad theme of his work is to obtain simple mathematical models for complex systems (particularly those involving fluids), using data from simulations or experiments. He has used these models to better understand the underlying physical phenomena, and in many cases to develop feedback control laws, in applications such as cavity flows, transitional boundary layers, unsteady aerodynamics, and plasmas in tokamaks.
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JOURNAL OF COMPUTATIONAL PHYSICS (2024): 112597-112597
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMSno. 1 (2024): 885-923
arxiv(2024)
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arXiv (Cornell University) (2023)
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SIAM JOURNAL ON SCIENTIFIC COMPUTINGno. 5 (2023): A2325-A2355
arXiv (Cornell University) (2023)
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Conference on Learning for Dynamics & Control (L4DC)pp.870-880, (2022)
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