Cover Image

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hao, Wenjian, Fang, Yuxuan, Lu, Zehui, Mou, Shaoshuai
Format:	Preprint
Published:	2026
Subjects:	Robotics Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
by: Hao, Wenjian, et al.
Published: (2026)

Distributed Koopman Learning using Partial Trajectories for Control
by: Hao, Wenjian, et al.
Published: (2024)

Online Intention Prediction via Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2026)

A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
by: Hao, Wenjian, et al.
Published: (2025)

Online Control-Informed Learning
by: Liang, Zihao, et al.
Published: (2024)

Deep Koopman Learning using Noisy Data
by: Hao, Wenjian, et al.
Published: (2024)

Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots
by: Hoyos, Jose D., et al.
Published: (2025)

Distributed Koopman Learning with Incomplete Measurements
by: Hao, Wenjian, et al.
Published: (2024)

Deep Koopman Learning of Nonlinear Time-Varying Systems
by: Hao, Wenjian, et al.
Published: (2022)

Distributed Optimization under Edge Agreement with Application in Battery Network Management
by: Lu, Zehui, et al.
Published: (2024)

Adaptive Policy Learning to Additional Tasks
by: Hao, Wenjian, et al.
Published: (2023)

Optimal Control of Nonlinear Systems with Unknown Dynamics
by: Hao, Wenjian, et al.
Published: (2023)

Safe Online Control-Informed Learning
by: Zhou, Tianyu, et al.
Published: (2025)

Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures
by: Lu, Zehui, et al.
Published: (2024)

A Differentiable Dynamic Modeling Approach to Integrated Motion Planning and Actuator Physical Design for Mobile Manipulators
by: Lu, Zehui, et al.
Published: (2024)

Koopman Operators in Robot Learning
by: Shi, Lu, et al.
Published: (2024)

Multi-segment Soft Robot Control via Deep Koopman-based Model Predictive Control
by: Lv, Lei, et al.
Published: (2025)

Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems
by: Singh, Rajpal, et al.
Published: (2024)

Data-Driven Optimal Control of Tethered Space Robot Deployment with Learning Based Koopman Operator
by: Jin, Ao, et al.
Published: (2023)

Polytope Volume Monitoring Problem: Formulation and Solution via Parametric Linear Program Based Control Barrier Function
by: Wu, Shizhen, et al.
Published: (2025)

Generalized Momenta-Based Koopman Formalism for Robust Control of Euler-Lagrangian Systems
by: Singh, Rajpal, et al.
Published: (2025)

Enabling On-Chip High-Frequency Adaptive Linear Optimal Control via Linearized Gaussian Process
by: Gao, Yuan, et al.
Published: (2024)

Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small On-Track Data Input
by: Fu, Yonghao, et al.
Published: (2025)

Adaptive Koopman Model Predictive Control of Simple Serial Robots
by: del Río, Adriano, et al.
Published: (2025)

Efficient Optimal Path Planning in Dynamic Environments Using Koopman MPC
by: Abtahi, Mohammad, et al.
Published: (2025)

Directionality-Aware Mixture Model Parallel Sampling for Efficient Linear Parameter Varying Dynamical System Learning
by: Sun, Sunan, et al.
Published: (2023)

Trajectory Prediction via Bayesian Intention Inference under Unknown Goals and Kinematics
by: Yin, Shunan, et al.
Published: (2025)

DEKC: Data-Enable Control for Tethered Space Robot Deployment in the Presence of Uncertainty via Koopman Operator Theory
by: Jin, Ao, et al.
Published: (2025)

Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft
by: Tu, Hao, et al.
Published: (2025)

Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems
by: Römer, Ralf, et al.
Published: (2024)

Conformal Koopman for Embedded Nonlinear Control with Statistical Robustness: Theory and Real-World Validation
by: Hirano, Koki, et al.
Published: (2026)

Koopman Operator Framework for Modeling and Control of Off-Road Vehicle on Deformable Terrain
by: Loya, Kartik, et al.
Published: (2026)

A Koopman Operator-based NMPC Framework for Mobile Robot Navigation under Uncertainty
by: Zhang, Xiaobin, et al.
Published: (2025)

On the Surprising Effectiveness of Spectral Clipping in Learning Stable Linear and Latent-Linear Dynamical Systems
by: Guo, Hanyao, et al.
Published: (2024)

TransformerMPC: Accelerating Model Predictive Control via Transformers
by: Zinage, Vrushabh, et al.
Published: (2024)

Event-Based Adaptive Koopman Framework for Optic Flow-Guided Landing on Moving Platforms
by: Banday, Bazeela, et al.
Published: (2025)

Reference-Free Sampling-Based Model Predictive Control
by: Schramm, Fabian, et al.
Published: (2025)

Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback
by: DiPirro, Rachel, et al.
Published: (2025)

Stochastic Model Predictive Control with Optimal Linear Feedback for Mobile Robots in Dynamic Environments
by: Gao, Yunfan, et al.
Published: (2024)

Physics-informed Deep Mixture-of-Koopmans Vehicle Dynamics Model with Dual-branch Encoder for Distributed Electric-drive Trucks
by: Miao, Jinyu, et al.
Published: (2026)