On the sample complexity of stabilizing linear dynamical systems from data
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Publication:6566152
DOI10.1007/s10208-023-09605-yzbMath1542.65188MaRDI QIDQ6566152
Benjamin Peherstorfer, Steffen W. R. Werner
Publication date: 3 July 2024
Published in: Foundations of Computational Mathematics (Search for Journal in Brave)
dynamical systemsmodel reductionnumerical linear algebradata-driven controldata-driven modelingscientific machine learning
Feedback control (93B52) Stabilization of systems by feedback (93D15) Sampled-data control/observation systems (93C57) Numerical problems in dynamical systems (65P99) Numerical methods for low-rank matrix approximation; matrix compression (65F55)
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- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- Data-driven interpolation of dynamical systems with delay
- Reduced order methods for modeling and computational reduction
- A framework for the solution of the generalized realization problem
- Virtual reference feedback tuning: A direct method for the design of feedback controllers
- Data-driven structured realization
- Parallel partial stabilizing algorithms for large linear control systems
- Robust output-feedback stabilization for incompressible flows using low-dimensional \(\mathcal{H}_{\infty}\)-controllers
- Error bounds for port-Hamiltonian model and controller reduction based on system balancing
- On the sample complexity of the linear quadratic regulator
- Data-driven operator inference for nonintrusive projection-based model reduction
- A note on persistency of excitation
- On dynamic mode decomposition: theory and applications
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
- A new set of invariants for linear systems--Application to reduced order compensator design
- Dynamic mode decomposition of numerical and experimental data
- Graph Implementations for Nonsmooth Convex Programs
- Data Driven Modal Decompositions: Analysis and Enhancements
- Numerical solution of large‐scale Lyapunov equations, Riccati equations, and linear‐quadratic optimal control problems
- An extension of Bass' algorithm for stabilizing linear continuous constant systems
- A stabilization algorithm for linear discrete constant systems
- Linear Matrix Inequalities in System and Control Theory
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- Extracting Sparse High-Dimensional Dynamics from Limited Data
- Data-Driven Science and Engineering
- Identification and the Information Matrix: How to Get Just Sufficiently Rich?
- MORLAB—The Model Order Reduction LABoratory
- Data-Driven Balancing of Linear Dynamical Systems
- System- and Data-Driven Methods and Algorithms
- Snapshot-Based Methods and Algorithms
- Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
- Sampling Low-Dimensional Markovian Dynamics for Preasymptotically Recovering Reduced Models from Data with Operator Inference
- Sparse dynamics for partial differential equations
- Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models
- Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
- Model-free control
- Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models
- Data-Driven Reduced Model Construction with Time-Domain Loewner Models
- Approximation of Large-Scale Dynamical Systems
- Data Informativity: A New Perspective on Data-Driven Analysis and Control
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