Baseline Results for Selected Nonlinear System Identification Benchmarks
Fuente:
arXiv
Saved in:
| Main Authors: | Champneys, Max D., Beintema, Gerben I., Tóth, Roland, Schoukens, Maarten, Rogers, Timothy J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems
by: Beintema, Gerben I., et al.
Published: (2023)
by: Beintema, Gerben I., et al.
Published: (2023)
State Derivative Normalization for Continuous-Time Deep Neural Networks
by: Weigand, Jonas, et al.
Published: (2024)
by: Weigand, Jonas, et al.
Published: (2024)
Least Costly Space-Filling Experiment Design for the Identification of a Nonlinear System
by: Kiss, Máté, et al.
Published: (2026)
by: Kiss, Máté, et al.
Published: (2026)
Space-Filling Input Design for Nonlinear State-Space Identification
by: Kiss, Máté, et al.
Published: (2024)
by: Kiss, Máté, et al.
Published: (2024)
Port-Hamiltonian Neural Networks with Output Error Noise Models
by: Moradi, Sarvin, et al.
Published: (2025)
by: Moradi, Sarvin, et al.
Published: (2025)
A new perspective on Bayesian Operational Modal Analysis
by: O'Connell, Brandon J., et al.
Published: (2024)
by: O'Connell, Brandon J., et al.
Published: (2024)
Koopman Form of Nonlinear Systems with Inputs
by: Iacob, Lucian Cristian, et al.
Published: (2022)
by: Iacob, Lucian Cristian, et al.
Published: (2022)
Learning Koopman Models From Data Under General Noise Conditions
by: Iacob, Lucian Cristian, et al.
Published: (2025)
by: Iacob, Lucian Cristian, et al.
Published: (2025)
Orthogonal projection-based regularization for efficient model augmentation
by: Györök, Bendegúz M., et al.
Published: (2025)
by: Györök, Bendegúz M., et al.
Published: (2025)
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring
by: Wilson, James, et al.
Published: (2024)
by: Wilson, James, et al.
Published: (2024)
Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks
by: van Otterdijk, G. J. E., et al.
Published: (2024)
by: van Otterdijk, G. J. E., et al.
Published: (2024)
BINDy -- Bayesian identification of nonlinear dynamics with reversible-jump Markov-chain Monte-Carlo
by: Champneys, Max D., et al.
Published: (2024)
by: Champneys, Max D., et al.
Published: (2024)
On Space-Filling Input Design for Nonlinear Dynamic Model Learning: A Gaussian Process Approach
by: Liu, Yuhan, et al.
Published: (2025)
by: Liu, Yuhan, et al.
Published: (2025)
Exact Finite Koopman Embedding of Block-Oriented Polynomial Systems
by: Iacob, Lucian Cristian, et al.
Published: (2025)
by: Iacob, Lucian Cristian, et al.
Published: (2025)
Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks
by: Liu, Yuhan, et al.
Published: (2024)
by: Liu, Yuhan, et al.
Published: (2024)
Probabilistic Numeric SMC Sampling for Bayesian Nonlinear System Identification in Continuous Time
by: Longbottom, Joe D., et al.
Published: (2024)
by: Longbottom, Joe D., et al.
Published: (2024)
System identification of biophysical neuronal models
by: Burghi, Thiago B., et al.
Published: (2020)
by: Burghi, Thiago B., et al.
Published: (2020)
Federated Nonlinear System Identification
by: Tupe, Omkar, et al.
Published: (2025)
by: Tupe, Omkar, et al.
Published: (2025)
Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
by: de Jong, Thomas, et al.
Published: (2024)
by: de Jong, Thomas, et al.
Published: (2024)
Learning-based model augmentation with LFRs
by: Hoekstra, Jan H., et al.
Published: (2024)
by: Hoekstra, Jan H., et al.
Published: (2024)
Orthogonal-by-construction augmentation of physics-based input-output models
by: Györök, Bendegúz M., et al.
Published: (2025)
by: Györök, Bendegúz M., et al.
Published: (2025)
Efficient Learning of Affine and Rational Dependency LPV Models With Linear Fractional Representation
by: Drenth, Roel, et al.
Published: (2026)
by: Drenth, Roel, et al.
Published: (2026)
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models
by: Bemporad, Alberto, et al.
Published: (2025)
by: Bemporad, Alberto, et al.
Published: (2025)
Active Learning for Control-Oriented Identification of Nonlinear Systems
by: Lee, Bruce D., et al.
Published: (2024)
by: Lee, Bruce D., et al.
Published: (2024)
Learning-based augmentation of first-principle models: A linear fractional representation-based approach
by: Hoekstra, Jan H., et al.
Published: (2026)
by: Hoekstra, Jan H., et al.
Published: (2026)
Learning Stable and Robust Linear Parameter-Varying State-Space Models
by: Verhoek, Chris, et al.
Published: (2023)
by: Verhoek, Chris, et al.
Published: (2023)
Data-driven augmentation of first-principles models under constraint-free well-posedness and stability guarantees
by: Györök, Bendegúz, et al.
Published: (2026)
by: Györök, Bendegúz, et al.
Published: (2026)
State-Space Kolmogorov Arnold Networks for Interpretable Nonlinear System Identification
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)
by: Cruz, Gonçalo Granjal, et al.
Published: (2025)
Nonlinear System Identification of Swarm of UAVs Using Deep Learning Methods
by: Yazdannik, Saman, et al.
Published: (2023)
by: Yazdannik, Saman, et al.
Published: (2023)
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2024)
by: Siriya, Seth, et al.
Published: (2024)
On the Stability of Nonlinear Receding Horizon Control: A Geometric Perspective
by: Westenbroek, Tyler, et al.
Published: (2021)
by: Westenbroek, Tyler, et al.
Published: (2021)
Learning Surrogate LPV State-Space Models with Uncertainty Quantification
by: Olucha, E. Javier, et al.
Published: (2026)
by: Olucha, E. Javier, et al.
Published: (2026)
Feedback Identification of conductance-based models
by: Burghi, Thiago B., et al.
Published: (2020)
by: Burghi, Thiago B., et al.
Published: (2020)
Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification
by: Messaoudi, Achraf El, et al.
Published: (2026)
by: Messaoudi, Achraf El, et al.
Published: (2026)
Space-Filling Regularization for Robust and Interpretable Nonlinear State Space Models
by: Klein, Hermann, et al.
Published: (2025)
by: Klein, Hermann, et al.
Published: (2025)
Nonparametric Control Koopman Operators
by: Bevanda, Petar, et al.
Published: (2024)
by: Bevanda, Petar, et al.
Published: (2024)
Koopman Eigenfunction-Based Identification and Optimal Nonlinear Control of Turbojet Engine
by: Grasev, David
Published: (2025)
by: Grasev, David
Published: (2025)
Koopman-Based Nonlinear Identification and Adaptive Control of a Turbofan Engine
by: Grasev, David
Published: (2026)
by: Grasev, David
Published: (2026)
Structural System Identification via Validation and Adaptation
by: López, Cristian, et al.
Published: (2025)
by: López, Cristian, et al.
Published: (2025)
Measurements and System Identification for the Characterization of Smooth Muscle Cell Dynamics
by: Ozturk, Dilan, et al.
Published: (2024)
by: Ozturk, Dilan, et al.
Published: (2024)
Similar Items
-
Meta-State-Space Learning: An Identification Approach for Stochastic Dynamical Systems
by: Beintema, Gerben I., et al.
Published: (2023) -
State Derivative Normalization for Continuous-Time Deep Neural Networks
by: Weigand, Jonas, et al.
Published: (2024) -
Least Costly Space-Filling Experiment Design for the Identification of a Nonlinear System
by: Kiss, Máté, et al.
Published: (2026) -
Space-Filling Input Design for Nonlinear State-Space Identification
by: Kiss, Máté, et al.
Published: (2024) -
Port-Hamiltonian Neural Networks with Output Error Noise Models
by: Moradi, Sarvin, et al.
Published: (2025)