Nonlinear Dynamics: Model Reduction I
ORAL · H10 ·
Presentations
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Linear Reduced-order Model based on Particle-image-velocimetry Data of Flow Field around Airfoil Controlled by Plasma Actuator
ORAL
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Authors
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Koki Nankai
- Tohoku University
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Kento Suzuki
- Tohoku University
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Atsushi Komuro
- Tohoku University
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Taku Nonomura
- Tohoku University, Presto, JST
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Keisuke Asai
- Tohoku University
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Reduced-order Modeling and Estimation for Buoyancy-driven Flow Control
ORAL
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Authors
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Sanjana Vijayshankar
- Department of Electrical and Computer Engineering, University of Minnesota
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Piyush Grover
- Mechanical and Materials Engineering, University of Nebraska-Lincoln
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Saleh Nabi
- Mitsubishi Electric Research Labs
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Machine learning of sequential data for non-intrusive reduced-order models
ORAL
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Authors
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Romit Maulik
- Argonne National Laboratory
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Arvind Mohan
- Los Alamos National Laboratory
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Sandeep Madireddy
- Argonne National Laboratory
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Bethany Lusch
- Argonne National Laboratory
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Prasanna Balaprakash
- Argonne National Laboratory
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Daniel Livescu
- Los Alamos National Laboratory
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A Simple POD-Galerkin Model Based on Computational or Experimental Data of Flows with Moving Boundaries
ORAL
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Authors
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Mingjun Wei
- Kansas State University
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Bolun Xu
- Kansas State University
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Haotian Gao
- Kansas State University
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John Hrynuk
- Army Research Lab
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Flow Field Reconstruction and Filtering Using Spectral Proper Orthogonal Decomposition
ORAL
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Authors
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Akhil Nekkanti
- University of California San Diego
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Oliver Schmidt
- University of California San Diego
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Towards reduced-order SPOD-Galerkin models for turbulent flows
ORAL
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Authors
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Tianyi Chu
- Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, UCSD, 9500 Gilman Drive, La Jolla, CA 92093-0411, USA
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Oliver T. Schmidt
- University of California, San Diego
- Department of Mechanical and Aerospace Engineering, Jacobs School of Engineering, UCSD, 9500 Gilman Drive, La Jolla, CA 92093-0411, USA
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Fast Greedy Optimization of Sensor Selection in Measurement with Correlated Noise
ORAL
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Authors
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Keigo Yamada
- Tohoku University
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Yuji Saito
- Tohoku University
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Taku Nonomura
- Tohoku University, Presto, JST
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Keisuke Asai
- Tohoku University
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Tomohiro Okudera
- Tohoku University
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Integrating sensor data into reduced-order models with deep learning
ORAL
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Authors
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Nirmal Jayaprasad Nair
- University of Illinois at Urbana-Champaign
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Andres Goza
- University of Illinois at Urbana-Champaign
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Determinant based Fast Greedy Optimization on Sparse Sensor Selection
ORAL
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Authors
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Yuji Saito
- Tohoku University
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Keigo Yamada
- Tohoku University
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Taku Nonomura
- Tohoku University, Presto, JST
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Keisuke Asai
- Tohoku University
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Daisuke Tsubakino
- Nagoya University
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Yasuo Sasaki
- Nagoya University
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Network-based identification of influential structures to modify turbulent flows
ORAL
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Authors
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Muralikrishnan Gopalakrishnan Meena
- University of California, Los Angeles
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Kunihiko Taira
- University of California, Los Angeles
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Physics-informed Echo State Networks for the prediction of chaotic systems
ORAL
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Authors
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Luca Magri
- University of Cambridge
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Francisco Huhn
- University of Cambridge
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Nguyen Anh Khoa Doan
- Dept. of Mechanical Engineering, Technical Univ of Munich
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Dimensionality Reduction and Reduced Order Modeling for Traveling Wave Physics
ORAL
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Authors
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Ariana Mendible
- University of Washington
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Aleksander Aravkin
- University of Washington
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Wes Lowrie
- ARA
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Steven Brunton
- University of Washington
- University of Washington, Seattle
- University of Washington, department of Mechanical Engineering
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J. Nathan Kutz
- University of Washington
- University of Washington, department of Applied Mathematics
- Department of Applied Mathematics, University of Washington, Seattle, WA
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