System stabilization with policy optimization on unstable latent manifolds (Q6663289)

scientific article; zbMATH DE number 7967148

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English	System stabilization with policy optimization on unstable latent manifolds	scientific article; zbMATH DE number 7967148

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instance of

scholarly article

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title

System stabilization with policy optimization on unstable latent manifolds (English)

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author

Steffen W. R. Werner

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Benjamin Peherstorfer

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published in

Computer Methods in Applied Mechanics and Engineering

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publication date

14 January 2025

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zbMATH Keywords

nonlinear systems

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feedback stabilization

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context-aware learning

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neural networks

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reinforcement learning

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MaRDI profile type

Publication

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cites work

Dynamical systems and chaos

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Q2716078

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Data-Driven Science and Engineering

0 references

Model-free control

0 references

Q4626283

0 references

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

0 references

Q2957673

0 references

Spectral properties of dynamical systems, model reduction and decompositions

0 references

Spectral analysis of nonlinear flows

0 references

Dynamic mode decomposition of numerical and experimental data

0 references

On dynamic mode decomposition: theory and applications

0 references

A data-driven approximation of the koopman operator: extending dynamic mode decomposition

0 references

Learning nonlinear reduced models from data with operator inference

0 references

Sampling Low-Dimensional Markovian Dynamics for Preasymptotically Recovering Reduced Models from Data with Operator Inference

0 references

Data-driven operator inference for nonintrusive projection-based model reduction

0 references

Lift \& learn: physics-informed machine learning for large-scale nonlinear dynamical systems

0 references

Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference

0 references

Hamiltonian operator inference: physics-preserving learning of reduced-order models for canonical Hamiltonian systems

0 references

Extracting Sparse High-Dimensional Dynamics from Limited Data

0 references

Model Reduction of Bilinear Systems in the Loewner Framework

0 references

Learning Low-Dimensional Dynamical-System Models from Noisy Frequency-Response Data with Loewner Rational Interpolation

0 references

Data‐driven model order reduction of quadratic‐bilinear systems

0 references

A framework for the solution of the generalized realization problem

0 references

Data-driven interpolation of dynamical systems with delay

0 references

Data-driven structured realization

0 references

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

0 references

Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction

0 references

Operator inference for non-intrusive model reduction with quadratic manifolds

0 references

A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

0 references

Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

0 references

Multifidelity Robust Controller Design with Gradient Sampling

0 references

Principal component analysis in linear systems: Controllability, observability, and model reduction

0 references

Robust output-feedback stabilization for incompressible flows using low-dimensional \(\mathcal{H}_{\infty}\)-controllers

0 references

On lines and planes of closest fit to systems of points in space.

0 references

On the sample complexity of stabilizing linear dynamical systems from data

0 references

A SURVEY OF METHODS FOR COMPUTING (UN)STABLE MANIFOLDS OF VECTOR FIELDS

0 references

The Numerical Computation of Unstable Manifolds for Infinite Dimensional Dynamical Systems by Embedding Techniques

0 references

Q4917542

0 references

Learning physics-based models from data: perspectives from inverse problems and model reduction

0 references

The principle of minimized iterations in the solution of the matrix eigenvalue problem

0 references

A Krylov--Schur Algorithm for Large Eigenproblems

0 references

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach

0 references

Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear–Quadratic Regulator Problem

0 references

Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient

0 references

A bifurcation problem for a nonlinear partial differential equation of parabolic type<sup>†</sup>

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Identifiers

DOI

10.1016/j.cma.2024.117483

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6663289