Cover Image

Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stamouli, Charis, Lindemann, Lars, Pappas, George J.
Format:	Preprint
Published:	2024
Subjects:	Systems and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rate-Optimal Non-Asymptotics for the Quadratic Prediction Error Method
by: Stamouli, Charis, et al.
Published: (2024)

eCP: Equivariant Conformal Prediction with pre-trained models
by: Bousias, Nikolaos, et al.
Published: (2026)

Conformal Prediction Regions for Time Series using Linear Complementarity Programming
by: Cleaveland, Matthew, et al.
Published: (2023)

Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates
by: Tumu, Renukanandan, et al.
Published: (2023)

Layered Control of Partially Observed Stochastic Systems
by: Stamouli, Charis, et al.
Published: (2026)

Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
by: de Jong, Thomas, et al.
Published: (2024)

Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)

Layered Multirate Control of Constrained Linear Systems
by: Stamouli, Charis, et al.
Published: (2025)

Metriplectic Conditional Flow Matching for Dissipative Dynamics
by: Baheri, Ali, et al.
Published: (2025)

Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
by: Tassopoulou, Vasiliki, et al.
Published: (2025)

Formal Verification and Control with Conformal Prediction
by: Lindemann, Lars, et al.
Published: (2024)

Policy Gradient Bounds in Multitask LQR
by: Stamouli, Charis, et al.
Published: (2025)

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
by: Zhang, Thomas T., et al.
Published: (2024)

Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification
by: Alsmeier, Hendrik, et al.
Published: (2025)

Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
by: Castañeda, Fernando, et al.
Published: (2022)

Deep Equivariant Multi-Agent Control Barrier Functions
by: Bousias, Nikolaos, et al.
Published: (2025)

Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error
by: Somalwar, Anne, et al.
Published: (2025)

Adversarial Robustness of Deep State Space Models for Forecasting
by: Anand, Sribalaji C., et al.
Published: (2026)

Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments
by: Derajić, Bojan, et al.
Published: (2025)

ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC
by: Du, Yurui, et al.
Published: (2026)

State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?
by: Ziemann, Ingvar, et al.
Published: (2024)

T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
by: Shen, Zeyu, et al.
Published: (2026)

Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
by: Chee, Kong Yao, et al.
Published: (2024)

On transferring safety certificates across dynamical systems
by: Bousias, Nikolaos, et al.
Published: (2026)

Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
by: Mirzaeedodangeh, Omid, et al.
Published: (2025)

An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees
by: Zhang, Ling, et al.
Published: (2023)

Signal Temporal Logic Control Synthesis among Uncontrollable Dynamic Agents with Conformal Prediction
by: Yu, Xinyi, et al.
Published: (2023)

Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning
by: Mitra, Aritra, et al.
Published: (2023)

When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
by: Rahaman, Kaizer, et al.
Published: (2026)

Active Learning for Control-Oriented Identification of Nonlinear Systems
by: Lee, Bruce D., et al.
Published: (2024)

Policy Gradient for LQR with Domain Randomization
by: Fujinami, Tesshu, et al.
Published: (2025)

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
by: Srinivasan, Anutam, et al.
Published: (2026)

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
by: Lindemann, Lars, et al.
Published: (2021)

Single Trajectory Conformal Prediction
by: Lee, Brian, et al.
Published: (2024)

Hierarchical RL-MPC Control for Dynamic Wake Steering in Wind Farms
by: Nilsen, Marcus Binder, et al.
Published: (2026)

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
by: Ovalle, Daniel, et al.
Published: (2025)

MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models
by: Yan, Jiaqi, et al.
Published: (2024)

Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
by: Syntakas, Spyridon, et al.
Published: (2024)

A Trajectory-Based Approach to Controlled Invariance and Recursively Feasible MPC
by: Wembe, Emmanuel Junior Wafo, et al.
Published: (2026)

A Tutorial on the Non-Asymptotic Theory of System Identification
by: Ziemann, Ingvar, et al.
Published: (2023)