Copertina

An adaptive data sampling strategy for stabilizing dynamical systems via controller inference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Werner, Steffen W. R., Peherstorfer, Benjamin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control Machine Learning Numerical Analysis Dynamical Systems 37N35, 65F55, 90C22, 90C59, 93B52
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

System stabilization with policy optimization on unstable latent manifolds
di: Werner, Steffen W. R., et al.
Pubblicazione: (2024)

On the sample complexity of stabilizing linear dynamical systems from data
di: Werner, Steffen W. R., et al.
Pubblicazione: (2022)

MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
di: Ang, Andersen, et al.
Pubblicazione: (2023)

Parallel subspace correction methods for semicoercive and nearly semicoercive convex optimization with applications to nonlinear PDEs
di: Lee, Young-Ju, et al.
Pubblicazione: (2024)

Empirical risk minimization for risk-neutral composite optimal control with applications to bang-bang control
di: Milz, Johannes, et al.
Pubblicazione: (2024)

The factorization of matrices into products of positive definite factors
di: Abdelgalil, Mahmoud, et al.
Pubblicazione: (2025)

Energy matching in reduced passive and port-Hamiltonian systems
di: Holicki, Tobias, et al.
Pubblicazione: (2023)

Polarized consensus-based dynamics for optimization and sampling
di: Bungert, Leon, et al.
Pubblicazione: (2022)

A multiscale Consensus-Based algorithm for multi-level optimization
di: Herty, Michael, et al.
Pubblicazione: (2024)

Randomized subspace correction methods for convex optimization
di: Jiang, Boou, et al.
Pubblicazione: (2025)

Kinetic description and convergence analysis of genetic algorithms for global optimization
di: Borghi, Giacomo, et al.
Pubblicazione: (2023)

A Canceling Heuristic for the Directed Traveling Salesman Problem
di: Borgwardt, Steffen, et al.
Pubblicazione: (2026)

A truncated epsilon-subdifferential method for global DC optimization
di: Bagirov, Adil M., et al.
Pubblicazione: (2025)

A Linear Parameter-Varying Framework for the Analysis of Time-Varying Optimization Algorithms
di: Jakob, Fabian, et al.
Pubblicazione: (2025)

Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design
di: Heiland, Jan, et al.
Pubblicazione: (2024)

Policy stability and ultimate stationarity in discounted risk-sensitive stochastic control
di: Bäuerle, Nicole, et al.
Pubblicazione: (2026)

Blackwell optimality and policy stability for long-run risk sensitive stochastic control
di: Bäuerle, Nicole, et al.
Pubblicazione: (2024)

Criticality measure-based error estimates for infinite dimensional optimization
di: Li, Danlin, et al.
Pubblicazione: (2024)

Convergence analysis of a primal-dual optimization-by-continuation algorithm
di: Loris, Ignace, et al.
Pubblicazione: (2023)

An Additively Preconditioned Trust Region Strategy for Machine Learning
di: Alegría, Samuel Cruz, et al.
Pubblicazione: (2025)

Projection, Degeneracy, and Singularity Degree for Spectrahedra
di: Im, Haesol, et al.
Pubblicazione: (2024)

Globally Solving Concave Quadratic Programs via Doubly Nonnegative Relaxation
di: Qu, Zheng, et al.
Pubblicazione: (2023)

ProxiCBO: A Provably Convergent Consensus-Based Method for Composite Optimization
di: Zhang, Haoyu, et al.
Pubblicazione: (2026)

Adjoint-based calibration of nonlinear stochastic differential equations
di: Bartsch, Jan, et al.
Pubblicazione: (2023)

Non-Convex Global Optimization as an Optimal Stabilization Problem: Convergence Rates
di: Huang, Yuyang, et al.
Pubblicazione: (2025)

Non-Convex Global Optimization as an Optimal Stabilization Problem: Dynamical Properties
di: Huang, Yuyang, et al.
Pubblicazione: (2025)

Randomized quasi-Monte Carlo methods for risk-averse stochastic optimization
di: Melnikov, Olena, et al.
Pubblicazione: (2024)

Constrained Consensus-Based Optimization and Numerical Heuristics for the Few Particle Regime
di: Beddrich, Jonas, et al.
Pubblicazione: (2024)

Second-order optimality conditions for the sparse optimal control of nonviscous Cahn-Hilliard systems
di: Colli, Pierluigi, et al.
Pubblicazione: (2024)

Stochastic Control Methods for Optimization
di: Qiu, Jinniao
Pubblicazione: (2026)

Efficiency and Convergence Insights in Large-Scale Optimization Using the Improved Inexact-Newton-Smart Algorithm and Interior-Point Framework
di: Renani, Neda Bagheri, et al.
Pubblicazione: (2025)

The structured distance to ill-posedness for conic systems
di: Lewis, Adrian S.
Pubblicazione: (2003)

Large-Scale Minimization of the Pseudospectral Abscissa
di: Aliyev, Nicat, et al.
Pubblicazione: (2022)

A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
di: O'Neill, Michael J.
Pubblicazione: (2024)

Complexity of an inexact stochastic SQP algorithm for equality constrained optimization
di: O'Neill, Michael J., et al.
Pubblicazione: (2026)

Discovering new phases via computing second-order stationary states of Landau-Brazovskii model
di: Bao, Chenglong, et al.
Pubblicazione: (2026)

Minimizing transients via the Kreiss system norm
di: Apkarian, Pierre, et al.
Pubblicazione: (2023)

Hidden convexity, optimization, and algorithms on rotation matrices
di: Ramachandran, Akshay, et al.
Pubblicazione: (2023)

Additive Schwarz methods for semilinear elliptic problems with convex energy functionals: Convergence rate independent of nonlinearity
di: Park, Jongho
Pubblicazione: (2023)

Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies
di: Kopaničáková, Alena, et al.
Pubblicazione: (2023)