Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | D'Silva, Rihan Aaron, Tsukamoto, Hiroyasu |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
$\mathsf{QuITO}$ $\textsf{v.2}$: Trajectory Optimization with Uniform Error Guarantees under Path Constraints
par: Ganguly, Siddhartha, et autres
Publié: (2024)
par: Ganguly, Siddhartha, et autres
Publié: (2024)
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
par: Tsukamoto, Hiroyasu, et autres
Publié: (2021)
par: Tsukamoto, Hiroyasu, et autres
Publié: (2021)
Conformal Predictive Programming for Chance Constrained Optimization
par: Zhao, Yiqi, et autres
Publié: (2024)
par: Zhao, Yiqi, et autres
Publié: (2024)
Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
par: Kato, Teruki, et autres
Publié: (2026)
par: Kato, Teruki, et autres
Publié: (2026)
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
par: Wei, Sihang, et autres
Publié: (2025)
par: Wei, Sihang, et autres
Publié: (2025)
Conformal Koopman for Embedded Nonlinear Control with Statistical Robustness: Theory and Real-World Validation
par: Hirano, Koki, et autres
Publié: (2026)
par: Hirano, Koki, et autres
Publié: (2026)
Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety
par: Hsu, Ting-Wei, et autres
Publié: (2025)
par: Hsu, Ting-Wei, et autres
Publié: (2025)
HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization
par: Li, Zeyang, et autres
Publié: (2025)
par: Li, Zeyang, et autres
Publié: (2025)
Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network
par: Lyu, Hyeonsu, et autres
Publié: (2024)
par: Lyu, Hyeonsu, et autres
Publié: (2024)
Trajectory Optimization of Stochastic Systems under Chance Constraints via Set Erosion
par: Liu, Zishun, et autres
Publié: (2025)
par: Liu, Zishun, et autres
Publié: (2025)
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
par: Zhang, Ziyi, et autres
Publié: (2024)
par: Zhang, Ziyi, et autres
Publié: (2024)
Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation
par: Zhao, Pan, et autres
Publié: (2021)
par: Zhao, Pan, et autres
Publié: (2021)
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
par: Tsukamoto, Hiroyasu, et autres
Publié: (2022)
par: Tsukamoto, Hiroyasu, et autres
Publié: (2022)
HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
par: Tran, Trinh, et autres
Publié: (2026)
par: Tran, Trinh, et autres
Publié: (2026)
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems
par: Siriya, Seth, et autres
Publié: (2024)
par: Siriya, Seth, et autres
Publié: (2024)
Adaptive Relaxation based Non-Conservative Chance Constrained Stochastic MPC
par: Ghosh, Avik, et autres
Publié: (2024)
par: Ghosh, Avik, et autres
Publié: (2024)
Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise
par: Chandak, Siddharth, et autres
Publié: (2025)
par: Chandak, Siddharth, et autres
Publié: (2025)
An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
par: Gornet, Jonathan, et autres
Publié: (2025)
par: Gornet, Jonathan, et autres
Publié: (2025)
Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions
par: Stolz, Roland, et autres
Publié: (2025)
par: Stolz, Roland, et autres
Publié: (2025)
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming
par: Wang, Xiucheng, et autres
Publié: (2025)
par: Wang, Xiucheng, et autres
Publié: (2025)
Predictive Lagrangian Optimization for Constrained Reinforcement Learning
par: Zhang, Tianqi, et autres
Publié: (2025)
par: Zhang, Tianqi, et autres
Publié: (2025)
Deterministic Trajectory Optimization through Probabilistic Optimal Control
par: Filabadi, Mohammad Mahmoudi, et autres
Publié: (2024)
par: Filabadi, Mohammad Mahmoudi, et autres
Publié: (2024)
Model-Based Diffusion for Trajectory Optimization
par: Pan, Chaoyi, et autres
Publié: (2024)
par: Pan, Chaoyi, et autres
Publié: (2024)
Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence
par: Bonalli, Riccardo, et autres
Publié: (2023)
par: Bonalli, Riccardo, et autres
Publié: (2023)
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
par: Li, Haoyu, et autres
Publié: (2025)
par: Li, Haoyu, et autres
Publié: (2025)
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
par: Harapanahalli, Akash, et autres
Publié: (2023)
par: Harapanahalli, Akash, et autres
Publié: (2023)
Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
par: Zhou, Quan, et autres
Publié: (2020)
par: Zhou, Quan, et autres
Publié: (2020)
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
par: He, Zhiyu, et autres
Publié: (2025)
par: He, Zhiyu, et autres
Publié: (2025)
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
par: Jain, Adit, et autres
Publié: (2024)
par: Jain, Adit, et autres
Publié: (2024)
Meta-Learning for Physically-Constrained Neural System Identification
par: Chakrabarty, Ankush, et autres
Publié: (2025)
par: Chakrabarty, Ankush, et autres
Publié: (2025)
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
par: Muehlebach, Michael, et autres
Publié: (2021)
par: Muehlebach, Michael, et autres
Publié: (2021)
Information-Optimal Multi-Spacecraft Positioning for Interstellar Object Exploration
par: Bhardwaj, Arna, et autres
Publié: (2024)
par: Bhardwaj, Arna, et autres
Publié: (2024)
Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems
par: Kaza, Kesav, et autres
Publié: (2025)
par: Kaza, Kesav, et autres
Publié: (2025)
UAV Trajectory Optimization via Improved Noisy Deep Q-Network
par: Hengyu, Zhang, et autres
Publié: (2026)
par: Hengyu, Zhang, et autres
Publié: (2026)
Momentum Further Constrains Sharpness at the Edge of Stochastic Stability
par: Andreyev, Arseniy, et autres
Publié: (2026)
par: Andreyev, Arseniy, et autres
Publié: (2026)
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
par: Wei, Lai, et autres
Publié: (2021)
par: Wei, Lai, et autres
Publié: (2021)
Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses
par: Zhang, Yurui, et autres
Publié: (2025)
par: Zhang, Yurui, et autres
Publié: (2025)
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
par: Sahinoglu, Emre, et autres
Publié: (2024)
par: Sahinoglu, Emre, et autres
Publié: (2024)
The Stochastic Occupation Kernel Method for System Identification
par: Wells, Michael, et autres
Publié: (2024)
par: Wells, Michael, et autres
Publié: (2024)
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
par: Chang, Ting-Jui, et autres
Publié: (2024)
par: Chang, Ting-Jui, et autres
Publié: (2024)
Documents similaires
-
$\mathsf{QuITO}$ $\textsf{v.2}$: Trajectory Optimization with Uniform Error Guarantees under Path Constraints
par: Ganguly, Siddhartha, et autres
Publié: (2024) -
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
par: Tsukamoto, Hiroyasu, et autres
Publié: (2021) -
Conformal Predictive Programming for Chance Constrained Optimization
par: Zhao, Yiqi, et autres
Publié: (2024) -
Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
par: Kato, Teruki, et autres
Publié: (2026) -
Conformal Contraction for Robust Nonlinear Control with Distribution-Free Uncertainty Quantification
par: Wei, Sihang, et autres
Publié: (2025)