Saved in:
| Main Authors: | Zhou, Yihan, Lu, Yiwen, Li, Zishuo, Yan, Jiaqi, Mo, Yilin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.16727 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)
by: Lu, Yiwen, et al.
Published: (2023)
Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits
by: Zhou, Yihan, et al.
Published: (2025)
by: Zhou, Yihan, et al.
Published: (2025)
Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
by: Lu, Yiwen, et al.
Published: (2023)
by: Lu, Yiwen, et al.
Published: (2023)
Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling
by: Li, Zishuo, et al.
Published: (2024)
by: Li, Zishuo, et al.
Published: (2024)
Datamodel-Based Data Selection for Nonlinear Data-Enabled Predictive Control
by: Li, Jiachen, et al.
Published: (2025)
by: Li, Jiachen, et al.
Published: (2025)
Learning Control for LQR with Unknown Packet Loss Rate Using Finite Channel Samples
by: Zhang, Zhenning, et al.
Published: (2025)
by: Zhang, Zhenning, et al.
Published: (2025)
Neural Data-Enabled Predictive Control
by: Lazar, Mircea
Published: (2024)
by: Lazar, Mircea
Published: (2024)
Data-Enabled Predictive Control for Flexible Spacecraft
by: Wang, Huanqing, et al.
Published: (2025)
by: Wang, Huanqing, et al.
Published: (2025)
Data-Enabled Predictive Iterative Control
by: Zhang, Kai, et al.
Published: (2024)
by: Zhang, Kai, et al.
Published: (2024)
Data-Efficient Extremum-Seeking Control Using Kernel-Based Function Approximation
by: Weekers, Wouter, et al.
Published: (2025)
by: Weekers, Wouter, et al.
Published: (2025)
Highway Discretionary Lane-change Decision and Control Using Model Predictive Control
by: Zheng, Zishun, et al.
Published: (2024)
by: Zheng, Zishun, et al.
Published: (2024)
Finite Sample Performance Analysis of MIMO Systems Identification
by: Sun, Shuai, et al.
Published: (2023)
by: Sun, Shuai, et al.
Published: (2023)
Online Reduced-Order Data-Enabled Predictive Control
by: Vahidi-Moghaddam, Amin, et al.
Published: (2024)
by: Vahidi-Moghaddam, Amin, et al.
Published: (2024)
Regret Analysis with Almost Sure Convergence for OBF-ARX Filter
by: Li, Jiayun, et al.
Published: (2024)
by: Li, Jiayun, et al.
Published: (2024)
A Control Theory inspired Exploration Method for a Linear Bandit driven by a Linear Gaussian Dynamical System
by: Gornet, Jonathan, et al.
Published: (2025)
by: Gornet, Jonathan, et al.
Published: (2025)
Communication-Aware Synthesis of Safety Controller for Networked Control Systems
by: Liu, Yihan, et al.
Published: (2026)
by: Liu, Yihan, et al.
Published: (2026)
RDS-DeePC: Robust Data Selection for Data-Enabled Predictive Control via Sensitivity Score
by: Li, Jiachen, et al.
Published: (2025)
by: Li, Jiachen, et al.
Published: (2025)
Learning-based Rigid Tube Model Predictive Control
by: Gao, Yulong, et al.
Published: (2023)
by: Gao, Yulong, et al.
Published: (2023)
MDR-DeePC: Model-Inspired Distributionally Robust Data-Enabled Predictive Control
by: Li, Shihao, et al.
Published: (2025)
by: Li, Shihao, et al.
Published: (2025)
Robust Data-EnablEd Predictive Leading Cruise Control via Reachability Analysis
by: Li, Shuai, et al.
Published: (2024)
by: Li, Shuai, et al.
Published: (2024)
Safe Data-Driven Predictive Control
by: Vahidi-Moghaddam, Amin, et al.
Published: (2025)
by: Vahidi-Moghaddam, Amin, et al.
Published: (2025)
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
by: Arango, Camilo Gonzalez, et al.
Published: (2025)
by: Arango, Camilo Gonzalez, et al.
Published: (2025)
Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control
by: Dinkla, Rogier, et al.
Published: (2024)
by: Dinkla, Rogier, et al.
Published: (2024)
Learning-based Approximate Model Predictive Control for an Impact Wrench Tool
by: Benazet, Mark, et al.
Published: (2025)
by: Benazet, Mark, et al.
Published: (2025)
Multiple Joint Chance Constraints Approximation for Uncertainty Modeling in Dispatch Problems
by: Wen, Yilin, et al.
Published: (2024)
by: Wen, Yilin, et al.
Published: (2024)
Verifiable Model-Free Safety Filters via Reinforcement Learning
by: Yin, Bihui, et al.
Published: (2026)
by: Yin, Bihui, et al.
Published: (2026)
Tube-Based Robust Data-Driven Predictive Control
by: Wang, Chi, et al.
Published: (2026)
by: Wang, Chi, et al.
Published: (2026)
Statistically Consistent Approximate Model Predictive Control
by: Milios, Elias, et al.
Published: (2025)
by: Milios, Elias, et al.
Published: (2025)
Re-examining the Legendre-Gauss-Lobatto Pseudospectral Methods for Optimal Control
by: Zou, Yilin, et al.
Published: (2025)
by: Zou, Yilin, et al.
Published: (2025)
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
by: Liu, Changrui, et al.
Published: (2025)
by: Liu, Changrui, et al.
Published: (2025)
Accurate Frequency Response Modeling in Integrated T&D Co-Simulation via EWMA-RTTA-Based Quadratic Extrapolation
by: Woo, Jong Ha, et al.
Published: (2026)
by: Woo, Jong Ha, et al.
Published: (2026)
Vectorized Sparse Second-Order Forward Automatic Differentiation for Optimal Control Direct Methods
by: Zou, Yilin, et al.
Published: (2025)
by: Zou, Yilin, et al.
Published: (2025)
Secure Data Reconstruction: A Direct Data-Driven Approach
by: Yan, Jiaqi, et al.
Published: (2025)
by: Yan, Jiaqi, et al.
Published: (2025)
An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
by: Gornet, Jonathan, et al.
Published: (2025)
by: Gornet, Jonathan, et al.
Published: (2025)
Stability Guarantees for Data-Driven Predictive Control of Nonlinear Systems via Approximate Koopman Embeddings
by: Taghieh, Amin, et al.
Published: (2026)
by: Taghieh, Amin, et al.
Published: (2026)
Identification with Orthogonal Basis Functions: Convergence Speed, Asymptotic Bias, and Rate-Optimal Pole Selection
by: Li, Jiayun, et al.
Published: (2025)
by: Li, Jiayun, et al.
Published: (2025)
Efficient Recursive Data-enabled Predictive Control (Extended Version)
by: Shi, Jicheng, et al.
Published: (2023)
by: Shi, Jicheng, et al.
Published: (2023)
Robustness to Model Approximation, Model Learning From Data, and Sample Complexity in Wasserstein Regular MDPs
by: Zhou, Yichen, et al.
Published: (2024)
by: Zhou, Yichen, et al.
Published: (2024)
Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set
by: Lunardi, Gianni, et al.
Published: (2023)
by: Lunardi, Gianni, et al.
Published: (2023)
Distributed Model Predictive Control for Energy and Comfort Optimization in Large Buildings Using Piecewise Affine Approximation
by: Li, Hongyi, et al.
Published: (2026)
by: Li, Hongyi, et al.
Published: (2026)
Similar Items
-
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023) -
Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits
by: Zhou, Yihan, et al.
Published: (2025) -
Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
by: Lu, Yiwen, et al.
Published: (2023) -
Secure Filtering against Spatio-Temporal False Data Attacks under Asynchronous Sampling
by: Li, Zishuo, et al.
Published: (2024) -
Datamodel-Based Data Selection for Nonlinear Data-Enabled Predictive Control
by: Li, Jiachen, et al.
Published: (2025)