Saved in:
| Main Authors: | Brooks, John W., Greve, Christine M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.20045 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
by: Ma, Mason, et al.
Published: (2023)
by: Ma, Mason, et al.
Published: (2023)
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
by: Quartz, Thanin, et al.
Published: (2024)
by: Quartz, Thanin, et al.
Published: (2024)
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)
by: Bhan, Luke, et al.
Published: (2024)
Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors
by: Bhan, Luke, et al.
Published: (2025)
by: Bhan, Luke, et al.
Published: (2025)
Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
by: Zhou, Ruikun, et al.
Published: (2024)
by: Zhou, Ruikun, et al.
Published: (2024)
Safe and Near-Optimal Control with Online Dynamics Learning
by: Prajapat, Manish, et al.
Published: (2025)
by: Prajapat, Manish, et al.
Published: (2025)
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
by: Inoue, Daisuke, et al.
Published: (2025)
by: Inoue, Daisuke, et al.
Published: (2025)
Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study
by: Schulze, Jan C., et al.
Published: (2024)
by: Schulze, Jan C., et al.
Published: (2024)
Stability-Certified Learning of Control Systems with Quadratic Nonlinearities
by: Duff, Igor Pontes, et al.
Published: (2024)
by: Duff, Igor Pontes, et al.
Published: (2024)
Learning Deep Dissipative Dynamics
by: Okamoto, Yuji, et al.
Published: (2024)
by: Okamoto, Yuji, et al.
Published: (2024)
Safely Learning Dynamical Systems
by: Ahmadi, Amir Ali, et al.
Published: (2023)
by: Ahmadi, Amir Ali, et al.
Published: (2023)
Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)
by: Xu, Yuezhu, et al.
Published: (2023)
On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
by: Na, Sen, et al.
Published: (2020)
by: Na, Sen, et al.
Published: (2020)
Joint Learning of Linear Time-Invariant Dynamical Systems
by: Modi, Aditya, et al.
Published: (2021)
by: Modi, Aditya, et al.
Published: (2021)
On Data-Driven Koopman Representations of Nonlinear Delay Differential Equations
by: Rajkumar, Santosh Mohan, et al.
Published: (2026)
by: Rajkumar, Santosh Mohan, et al.
Published: (2026)
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison
by: Schulze, Jan C., et al.
Published: (2025)
by: Schulze, Jan C., et al.
Published: (2025)
Controlling Dynamical Systems into Unseen Target States Using Machine Learning
by: Köglmayr, Daniel, et al.
Published: (2024)
by: Köglmayr, Daniel, et al.
Published: (2024)
Control of dynamical systems with neural networks
by: Böttcher, Lucas
Published: (2025)
by: Böttcher, Lucas
Published: (2025)
Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
by: Li, Dan, et al.
Published: (2021)
by: Li, Dan, et al.
Published: (2021)
Multistability of Self-Attention Dynamics in Transformers
by: Altafini, Claudio
Published: (2025)
by: Altafini, Claudio
Published: (2025)
Controlled oscillation modeling using port-Hamiltonian neural networks
by: Linares, Maximino, et al.
Published: (2026)
by: Linares, Maximino, et al.
Published: (2026)
Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU
by: Liu, Jingzhou
Published: (2025)
by: Liu, Jingzhou
Published: (2025)
Controller Design for Structured State-space Models via Contraction Theory
by: Zakwan, Muhammad, et al.
Published: (2026)
by: Zakwan, Muhammad, et al.
Published: (2026)
Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)
by: Schenk, Christina, et al.
Published: (2024)
Structure- and Stability-Preserving Learning of Port-Hamiltonian Systems
by: Nguyen, Binh, et al.
Published: (2026)
by: Nguyen, Binh, et al.
Published: (2026)
Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
by: Lamarque, Maxence, et al.
Published: (2024)
by: Lamarque, Maxence, et al.
Published: (2024)
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)
by: Zolman, Nicholas, et al.
Published: (2024)
Collaborative Safety-Critical Control for Dynamically Coupled Networked Systems
by: Butler, Brooks A., et al.
Published: (2023)
by: Butler, Brooks A., et al.
Published: (2023)
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)
Predictability Enables Parallelization of Nonlinear State Space Models
by: Gonzalez, Xavier, et al.
Published: (2025)
by: Gonzalez, Xavier, et al.
Published: (2025)
Control of Medical Digital Twins with Artificial Neural Networks
by: Böttcher, Lucas, et al.
Published: (2024)
by: Böttcher, Lucas, et al.
Published: (2024)
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control
by: Liu, Xin-Yang, et al.
Published: (2024)
by: Liu, Xin-Yang, et al.
Published: (2024)
Analysis of Thompson Sampling for Controlling Unknown Linear Diffusion Processes
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)
by: Faradonbeh, Mohamad Kazem Shirani, et al.
Published: (2022)
Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
by: Lamarque, Maxence, et al.
Published: (2024)
by: Lamarque, Maxence, et al.
Published: (2024)
Learning Spatio-Temporal Dynamics via Operator-Valued RKHS and Kernel Koopman Methods
by: Withanachchi, Mahishanka
Published: (2025)
by: Withanachchi, Mahishanka
Published: (2025)
Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control
by: Mole, Andrew, et al.
Published: (2025)
by: Mole, Andrew, et al.
Published: (2025)
Circular Microalgae-Based Carbon Control for Net Zero
by: Zocco, Federico, et al.
Published: (2025)
by: Zocco, Federico, et al.
Published: (2025)
Reservoir computing for system identification and predictive control with limited data
by: Williams, Jan P., et al.
Published: (2024)
by: Williams, Jan P., et al.
Published: (2024)
Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator
by: Dahdah, Steven, et al.
Published: (2024)
by: Dahdah, Steven, et al.
Published: (2024)
Gradient Flow Equations for Deep Linear Neural Networks: A Survey from a Network Perspective
by: Wendin, Joel, et al.
Published: (2025)
by: Wendin, Joel, et al.
Published: (2025)
Similar Items
-
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements
by: Ma, Mason, et al.
Published: (2023) -
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
by: Quartz, Thanin, et al.
Published: (2024) -
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024) -
Delay-adaptive Control of Nonlinear Systems with Approximate Neural Operator Predictors
by: Bhan, Luke, et al.
Published: (2025) -
Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
by: Zhou, Ruikun, et al.
Published: (2024)