Saved in:
| Main Authors: | Cheng, Xiaoyuan, Yuan, Wenxuan, Yang, Yiming, Zhang, Yuanzhao, Cheng, Sibo, He, Yi, Sun, Zhuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.13025 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KEEC: Koopman Embedded Equivariant Control
by: Cheng, Xiaoyuan, et al.
Published: (2023)
by: Cheng, Xiaoyuan, et al.
Published: (2023)
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
by: Cheng, Xiaoyuan, et al.
Published: (2026)
by: Cheng, Xiaoyuan, et al.
Published: (2026)
From Embedding to Control: Representations for Stochastic Multi-Object Systems
by: Cheng, Xiaoyuan, et al.
Published: (2025)
by: Cheng, Xiaoyuan, 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)
Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
by: Yang, Yiming, et al.
Published: (2026)
by: Yang, Yiming, et al.
Published: (2026)
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)
Spatiotemporal System Forecasting with Irregular Time Steps via Masked Autoencoder
by: Zhu, Kewei, et al.
Published: (2026)
by: Zhu, Kewei, et al.
Published: (2026)
Koopman-based Deep Learning for Nonlinear System Estimation
by: Sun, Zexin, et al.
Published: (2024)
by: Sun, Zexin, et al.
Published: (2024)
Koopman Kernel Regression
by: Bevanda, Petar, et al.
Published: (2023)
by: Bevanda, Petar, et al.
Published: (2023)
Koopman-Equivariant Gaussian Processes
by: Bevanda, Petar, et al.
Published: (2025)
by: Bevanda, Petar, et al.
Published: (2025)
Nonparametric Control Koopman Operators
by: Bevanda, Petar, et al.
Published: (2024)
by: Bevanda, Petar, et al.
Published: (2024)
Closed-Loop Koopman Operator Approximation
by: Dahdah, Steven, et al.
Published: (2023)
by: Dahdah, Steven, et al.
Published: (2023)
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
by: Kumawat, Hemant, et al.
Published: (2024)
by: Kumawat, Hemant, et al.
Published: (2024)
Nonparametric Sparse Online Learning of the Koopman Operator
by: Hou, Boya, et al.
Published: (2025)
by: Hou, Boya, et al.
Published: (2025)
KoopCast: Trajectory Forecasting via Koopman Operators
by: Lee, Jungjin, et al.
Published: (2025)
by: Lee, Jungjin, et al.
Published: (2025)
Koopman operator for time-dependent reliability analysis
by: N., Navaneeth, et al.
Published: (2022)
by: N., Navaneeth, et al.
Published: (2022)
iRadioDiff: Physics-Informed Diffusion Model for Indoor Radio Map Construction and Localization
by: Wang, Xiucheng, et al.
Published: (2025)
by: Wang, Xiucheng, et al.
Published: (2025)
Safe and Stable Control via Lyapunov-Guided Diffusion Models
by: Cheng, Xiaoyuan, et al.
Published: (2025)
by: Cheng, Xiaoyuan, et al.
Published: (2025)
Kernel Methods for Stochastic Dynamical Systems with Application to Koopman Eigenfunctions: Feynman-Kac Representations and RKHS Approximation
by: Hamzi, Boumediene, et al.
Published: (2026)
by: Hamzi, Boumediene, et al.
Published: (2026)
Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator
by: Dahdah, Steven, et al.
Published: (2024)
by: Dahdah, Steven, et al.
Published: (2024)
Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
by: Krishnan, Sivaram, et al.
Published: (2025)
by: Krishnan, Sivaram, et al.
Published: (2025)
Koopman-Assisted Reinforcement Learning
by: Rozwood, Preston, et al.
Published: (2024)
by: Rozwood, Preston, et al.
Published: (2024)
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)
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method
by: Caldarelli, Edoardo, et al.
Published: (2024)
by: Caldarelli, Edoardo, 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)
Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems
by: Chen, Zhiyi, et al.
Published: (2024)
by: Chen, Zhiyi, et al.
Published: (2024)
Urban traffic analysis and forecasting through shared Koopman eigenmodes
by: Yang, Chuhan, et al.
Published: (2024)
by: Yang, Chuhan, et al.
Published: (2024)
Distributional Soft Actor-Critic with Three Refinements
by: Duan, Jingliang, et al.
Published: (2023)
by: Duan, Jingliang, et al.
Published: (2023)
BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks
by: Eldebiky, Amro, et al.
Published: (2024)
by: Eldebiky, Amro, et al.
Published: (2024)
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
by: Ohnishi, Motoya, et al.
Published: (2021)
by: Ohnishi, Motoya, et al.
Published: (2021)
Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems
by: Chen, Zhiyi, et al.
Published: (2023)
by: Chen, Zhiyi, et al.
Published: (2023)
Koopman Subspace Pruning in Reproducing Kernel Hilbert Spaces via Principal Vectors
by: Shah, Dhruv, et al.
Published: (2026)
by: Shah, Dhruv, et al.
Published: (2026)
Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part I
by: Tian, Yi, et al.
Published: (2022)
by: Tian, Yi, et al.
Published: (2022)
Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part II
by: Tian, Yi, et al.
Published: (2026)
by: Tian, Yi, et al.
Published: (2026)
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)
Bilinear Input Modulation for Mamba: Koopman Bilinear Forms for Memory Retention and Multiplicative Computation
by: Fujii, Hiroki, et al.
Published: (2026)
by: Fujii, Hiroki, et al.
Published: (2026)
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
by: Mayfrank, Daniel, et al.
Published: (2023)
by: Mayfrank, Daniel, et al.
Published: (2023)
SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems
by: Strässer, Robin, et al.
Published: (2024)
by: Strässer, Robin, et al.
Published: (2024)
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning
by: Zhang, Ruichang, et al.
Published: (2024)
by: Zhang, Ruichang, et al.
Published: (2024)
Similar Items
-
KEEC: Koopman Embedded Equivariant Control
by: Cheng, Xiaoyuan, et al.
Published: (2023) -
How Does the Lagrangian Guide Safe Reinforcement Learning through Diffusion Models?
by: Cheng, Xiaoyuan, et al.
Published: (2026) -
From Embedding to Control: Representations for Stochastic Multi-Object Systems
by: Cheng, Xiaoyuan, et al.
Published: (2025) -
Learning Koopman-based Stability Certificates for Unknown Nonlinear Systems
by: Zhou, Ruikun, et al.
Published: (2024) -
Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
by: Yang, Yiming, et al.
Published: (2026)