Nonlinear Dynamics: Model Reduction (8:45am - 9:30am CST)
POSTER · K09 ·
Presentations
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Data-driven Modeling of Detonation Wave Interactions in Rotating Detonation Engines
POSTER
Authors
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Ariana Mendible
- University of Washington
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James Koch
- University of Texas, Austin
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Henning Lange
- University of Washington
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Steven Brunton
- University of Washington
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Nathan Kutz
- University of Washington
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Data-driven nonlinear aeroelastic models of morphing wings for control
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Authors
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Urban Fasel
- ETH Zurich
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Nicola Fonzi
- Politecnico di Milano
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Steven L. Brunton
- University of Washington
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Learning dominant physical processes in complex flows with data-driven balance models
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Authors
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Jared Callaham
- University of Washington
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J. Nathan Kutz
- University of Washington
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Bingni Brunton
- University of Washington
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Steven Brunton
- University of Washington
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Robust Principal Component Analysis for Modal Decomposition of Corrupt Fluid Flows
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Authors
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Isabel Scherl
- University of Washington
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Benjamin Strom
- University of Washington
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Jessica K. Shang
- University of Rochester
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Owen Williams
- University of Washington
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Brian L. Polagye
- University of Washington
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Steven L. Brunton
- University of Washington
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Sequential sampling with heteroscedastic surrogate model to quantify extreme response statistics
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Authors
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Xianliang Gong
- University of Michigan
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Yulin Pan
- University of Michigan, Ann Arbor
- Department of Naval Architecture and Marine Engineering, University of Michigan
- University of Michigan
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Phase-based analysis of synchronization between laminar cylinder wake and external harmonic actuations
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Authors
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Mohammad Amin Khodkar
- UCLA
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Kunihiko Taira
- University of California - Los Angeles
- University of California, Los Angeles
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
- UCLA
- University of California Los Angeles
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Network broadcast mode analysis and control with respect to time-varying base flow1
POSTER
Authors
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Chi-An Yeh
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
- University of California, Los Angeles
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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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Wavelet adaptive POD for large scale flow data
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Authors
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Philipp Krah
- Tech Univ Berlin
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Thomas Engels
- Institute of Biosciences, Animal Physiology, Rostock University, Germany
- Univ Rostock
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Kai Schneider
- Institut de Math\'ematiques de Marseille (I2M), Aix-Marseille Universit\'e, CNRS and Centrale Marseille, France
- Institut de Math\'ematiques de Marseille (I2M), Aix-Marseille Universit\'e, CNRS and Centrale Marseille, Marseille, France
- Aix-Marseille Universit\'e, I2M--CNRS, Marseille, France
- Aix-Marseille Universite
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Julius Reiss
- Tech Univ Berlin
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Projection and Tree Based Reduced Order Modeling for Vortex Particle Simulations.
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Authors
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Steven Rodriguez
- United States Naval Research Laboratory
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Athanasios Iliopoulos
- United States Naval Research Laboratory
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Steven Brunton
- University of Washington
- University of Washington, Seattle
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Kevin Carlberg
- University of Washington
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John Michopoulos
- United States Naval Research Laboratory
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John Steuben
- United States Naval Research Laboratory
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A hierarchy structure of local Koopman spectra
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Authors
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wei zhang
- Kansas State University
- Univ of Virginia
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Mingjun Wei
- Kansas State University
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Least-order model for the transient dynamics of the fluidic pinball
POSTER
Authors
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Nan Deng
- IMSIA, ENSTA-Paris, IP-Paris, France and LIMSI, UPSaclay, France
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Luc R. Pastur
- Institute of Mechanical Sciences and Industrial Applications, ENSTA-Paris, Institut Polytechnique de Paris, France
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Bernd R. Noack
- Center of Turbulence Control, Harbin Institute of Technology, China and ISTA, Technische Universität Berlin, Germany
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Marek Morzynski
- Chair of Virtual Engineering, Poznan University of Technology, Poland
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Towards equation-free resolvent analysis
POSTER
Authors
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Steven Brunton
- University of Washington
- University of Washington, Seattle
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Peter Baddoo
- Imperial College London
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Benjamin Herrmann
- University of Washington
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Beverley McKeon
- Caltech
- California Institute of Technology
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When deep learning meets ergodic theory
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Authors
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Michele Alessandro Bucci
- INRIA Saclay, France
- TAU-Team, INRIA Saclay, LRI, Universite' Paris-Sud
- INRIA-Saclay
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Onofrio Semeraro
- CNRS - Universite Paris Saclay
- LIMSI, CNRS, Universite' de Paris-Saclay
- LIMSI-CNRS
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Sergio Chibbaro
- UPMC
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Alexandre Allauzen
- ESPCI
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Lionel Mathelin
- CNRS - Universite Paris Saclay
- LIMSI, CNRS, Universite' de Paris-Saclay
- LIMSI-CNRS
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Cluster-based network model
POSTER
Authors
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Hao LI
- Scicence and Technology on Scramjet Laboratory, National University of Defense Technology, Changsha 410073,China
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Daniel Fernex
- Institut f\"ur Str\"omungsmechanik, Technische Universit\"at Braunschweig, Braunschweig, Germany
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Richard Semaan
- Institut f\"ur Str\"omungsmechanik, Technische Universit\"at Braunschweig, Braunschweig, Germany
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Jianguo TAN
- Scicence and Technology on Scramjet Laboratory, National University of Defense Technology, Changsha 410073,China
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Marek Morzy\’nski
- Chair of Virtual Engineering, Pozna\'n University of Technology, Pozna\'n, Poland
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Bernd R. Noack
- Harbin Institute of Technology (Shenzhen), China
- Harbin Institute of Technology (Shenzhen)
- Center of Turbulence Control, Harbin Institute of Technology, Shenzhen 518058, China
- HIT, China and TU Berlin, Germany
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Data-driven sensor selection method using ADMM for a large-scale problem
POSTER
Authors
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Takayuki Nagata
- Tohoku University
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Nonomura Taku
- Department of Aerospace Engineering, Tohoku University
- Tohoku University
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Kumi Nakai
- Tohoku University
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Keigo Yamada
- Tohoku University
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Yuji Saito
- Department of Aerospace Engineering, Tohoku University
- Tohoku University
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Shunsuke Ono
- Tokyo Institute of Technology
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Effect of Objective Function on Sparse Sensor Placement using Greedy Method
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Authors
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Kumi Nakai
- Tohoku University
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Keigo Yamada
- Tohoku University
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Takayuki Nagata
- Tohoku University
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Yuji Saito
- Tohoku University
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Taku Nonomura
- Tohoku University
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Assessment of hybrid data-driven models to predict unsteady flows
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Authors
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Rachit Gupta
- Department of Mechanical Engineering, University of British Columbia
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Sandeep Reddy Bukka
- Technology Center for Offshore and Marine, Singapore (TCOMS)
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Rajeev Jaiman
- University of British Colombia
- Mechanical Engineering, University of British Columbia
- Department of Mechanical Engineering, University of British Columbia
- University of British Columbia
- The University of British Columbia
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Learning fluid flow physics from noisy, incomplete, experimental data
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Authors
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Logan Kageorge
- Georgia Institute of Technology
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Patrick Reinbold
- Georgia Institute of Technology
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Michael Schatz
- Georgia Inst of Tech
- Georgia Institute of Technology
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Roman Grigoriev
- Georgia Inst of Tech
- Georgia Institute of Technology
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Adaptive-Robust Dynamic Mode Decomposition (DMD) for Reduced-Order Modeling and Control
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Authors
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Saleh Nabi
- Mitsubishi Electric Research Laboratory
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Aniketh Kalur
- University of Minnesota
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Mouhacine Benosman
- Mitsubishi Electric Research Laboratory
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Probabilistic cluster-based feedback control of fluid flow dynamics
POSTER
Authors
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Vedasri Godavarthi
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
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Chi-An Yeh
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
- University of California, Los Angeles
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Eurika Kaiser
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98115, USA
- University of Washington
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Kunihiko Taira
- University of California - Los Angeles
- University of California, Los Angeles
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA 90095, USA
- UCLA
- University of California Los Angeles
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Neural Network approach to reduced order modeling of multiphase flows
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Authors
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Cristina P. Martin Linares
- Johns Hopkins University
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Tom Bertalan
- Johns Hopkins University
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Jiacai Lu
- Johns Hopkins University
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Seungjoon Lee
- Department of Applied Data Science, San Jose State University
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Yannis Kevrekidis
- Johns Hopkins University
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Gretar Tryggvason
- Johns Hopkins University
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