Search Results - dynamical system autoencoder

Dynamical System Autoencoders by He, Shiquan, Paffenroth, Randy, Cava, Olivia, Dunham, Cate

“… In this paper, we introduce a new type of autoencoder that we call dynamical system autoencoder (DSAE…”
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Analysis of chaotic dynamical systems with autoencoders by Almazova, N, Barmparis, G D, Tsironis, G P

“…We focus on chaotic dynamical systems and analyze their time series with the use of autoencoders, i.e…”
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Temporally-consistent koopman autoencoders for forecasting dynamical systems by Nayak, Indranil, Chakrabarti, Ananda, Kumar, Mrinal, Teixeira, Fernando L., Goswami, Debdipta

“…Absence of sufficiently high-quality data often poses a key challenge in data-driven modeling of high-dimensional spatio-temporal dynamical systems…”
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Learning nonlinear projections for reduced-order modeling of dynamical systems using constrained autoencoders by Otto, Samuel E, Macchio, Gregory R, Rowley, Clarence W

“…Recently developed reduced-order modeling techniques aim to approximate nonlinear dynamical systems on low-dimensional manifolds learned from data…”
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Learning the health index of complex systems using dynamic conditional variational autoencoders by Wei, Yupeng, Wu, Dazhong, Terpenny, Janis

“…Recent advances in sensing technologies have enabled engineers to collect big data to predict the remaining useful life (RUL) of complex systems…”
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Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System by Park, Saerom, Lee, Jaewook

“…In this study, we give a stability analysis of denoising autoencoder(DAE) from the novel perspective of dynamical systems when the input density is defined as a distribution on a manifold…”
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Learning a reduced basis of dynamical systems using an autoencoder by Sondak, David, Protopapas, Pavlos

“… In this work, we use an autoencoder with latent space penalization to discover approximate finite-dimensional manifolds of two canonical partial differential equations…”
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Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders by Lee, Kookjin, Carlberg, Kevin T.

“…•Two model-reduction methods that project dynamical systems on nonlinear manifolds…”
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Toward Explainable AutoEncoder-Based Diagnosis of Dynamical Systems by Provan, Gregory

“… We show how this approach can be used for both single-device diagnostics (e.g., faults in rotating machinery) and complex (multi-device) dynamical systems…”
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Understanding the role of autoencoders for stiff dynamical systems using information theory by Vijayarangan, Vijayamanikandan, Uranakara, Harshavardhana A., Hernández–Pérez, Francisco E., Im, Hong G.

“…) using deep neural network (DNN) training finds a smooth (non-stiff) low-dimensional manifold in the stiff dynamical system. Our recent study (Vijayarangan et al. 2023…”
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Modeling Unknown Stochastic Dynamical System via Autoencoder by Xu, Zhongshu, Chen, Yuan, Chen, Qifan, Xiu, Dongbin

“…We present a numerical method to learn an accurate predictive model for an unknown stochastic dynamical system from its trajectory data…”
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On Ensemble Learning Models for Autoencoder-Based Identification of Nonlinear Dynamical Systems by Arridu, Nicola, Lippi, Martina, Franceschelli, Mauro, Gasparri, Andrea

“…Identifying the dynamic model of a system has been a subject of extensive research for decades…”
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Autoencoder Embeddings in Dynamical Systems: A Comparison of Current Frameworks by Quinn, John Timothy

“…Recently, autoencoders have been increasingly applied to dynamical systems, including their use in many data-driven modeling methods…”
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Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing by Lee, Sangmin, Kim, Hae Joong, Kim, Seoung Bum

“…Deep denoising autoencoders (DDAE), which are variants of the autoencoder, have shown outstanding performance in various machine learning tasks…”
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Deep Learning for Robust Adaptive Inverse Control of Nonlinear Dynamic Systems: Improved Settling Time with an Autoencoder by Alwan, Nuha A. S., Hussain, Zahir M.

“…An adaptive deep neural network is used in an inverse system identification setting to approximate the inverse of a nonlinear plant with the aim of constituting the plant controller by copying…”
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Exploring order parameters and dynamic processes in disordered systems via variational autoencoders by Kalinin, Sergei V., Dyck, Ondrej, Jesse, Stephen, Ziatdinov, Maxim

“…The local order parameter in a disordered system is explored with convolutional neural networks and variational autoencoder…”
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Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders by Lee, Kookjin, Carlberg, Kevin T.

“…Nearly all model-reduction techniques project the governing equations onto a linear subspace of the original state space. Such subspaces are typically computed…”
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Model reduction for nonlinear dynamical systems using deep convolutional autoencoders by Lee, Kookjin, Carlberg, Kevin Thomas

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Dynamic Variational Autoencoders for Enhanced FDIA Detection in Power System State Estimation by Amirian, Peyman, Eivaghi, Vahid MohammadZadeh, Amraee, Turaj, Aliyari-Shoorehdeli, Mahdi

“…State estimation, as the core of the Energy Management System (EMS), plays a vital role in ensuring the secure and efficient operation of modern power systems…”
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Analysis of chaotic dynamical systems with autoencoders by Almazova, N, Barmparis, G D, Tsironis, G P

“…We focus on chaotic dynamical systems and analyze their time series with the use of autoencoders, i.e…”
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