Saved in:
| Main Authors: | Selim, Akan, Ganguly, Siddhartha, Pakniyat, Ali, Tsiotras, Panagiotis |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.12153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Control of the Nonlinear Stochastic Fokker--Planck Equation
by: Hambly, Ben, et al.
Published: (2024)
by: Hambly, Ben, et al.
Published: (2024)
Covariance Steering of Discrete-Time Markov Jump Linear Systems with Multiplicative Noise
by: Wang, Fangji, et al.
Published: (2026)
by: Wang, Fangji, et al.
Published: (2026)
Recursively Feasible Stochastic Model Predictive Control for Time-Varying Linear Systems Subject to Unbounded Disturbances
by: Knaup, Jacob W., et al.
Published: (2024)
by: Knaup, Jacob W., et al.
Published: (2024)
Unbalanced Optimal Transport and Density Control for Discrete-Time Linear Systems
by: Nakashima, Haruto, et al.
Published: (2026)
by: Nakashima, Haruto, et al.
Published: (2026)
Improving the Convergence Rates for the Kinetic Fokker-Planck Equation by Optimal Control
by: Breiten, Tobias, et al.
Published: (2022)
by: Breiten, Tobias, et al.
Published: (2022)
A Time-Reversal Control Synthesis for Steering the State of Stochastic Systems
by: Mei, Yuhang, et al.
Published: (2025)
by: Mei, Yuhang, et al.
Published: (2025)
Distributionally Robust Density Control with Wasserstein Ambiguity Sets
by: Pilipovsky, Joshua, et al.
Published: (2024)
by: Pilipovsky, Joshua, et al.
Published: (2024)
Data-Driven Robust Covariance Control for Uncertain Linear Systems
by: Pilipovsky, Joshua, et al.
Published: (2023)
by: Pilipovsky, Joshua, et al.
Published: (2023)
Computationally Efficient Chance Constrained Covariance Control with Output Feedback
by: Pilipovsky, Joshua, et al.
Published: (2023)
by: Pilipovsky, Joshua, et al.
Published: (2023)
DUST: A Framework for Data-Driven Density Steering
by: Pilipovsky, Joshua, et al.
Published: (2024)
by: Pilipovsky, Joshua, et al.
Published: (2024)
Data-Driven Density Steering via the Gromov-Wasserstein Optimal Transport Distance
by: Nakashima, Haruto, et al.
Published: (2025)
by: Nakashima, Haruto, et al.
Published: (2025)
A Fokker-Planck Framework for Control of Epidemics
by: Parkinson, Christian, et al.
Published: (2026)
by: Parkinson, Christian, et al.
Published: (2026)
Optimal control problems driven by nonlinear degenerate Fokker-Planck equations
by: Anceschi, Francesca, et al.
Published: (2024)
by: Anceschi, Francesca, et al.
Published: (2024)
Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
by: Kara, Ali Devran, et al.
Published: (2024)
by: Kara, Ali Devran, et al.
Published: (2024)
Optimal Control for Steady Circulation of a Diffusion Process via Spectral Decomposition of Fokker-Planck Equation
by: Namura, Norihisa, et al.
Published: (2026)
by: Namura, Norihisa, et al.
Published: (2026)
Distribution Steering for Discrete-Time Uncertain Ensemble Systems
by: Wu, Guangyu, et al.
Published: (2024)
by: Wu, Guangyu, et al.
Published: (2024)
Stochastic Control of UAVs: An Optimal Tradeoff between Performance, Flight Smoothness and Control Effort
by: Rapakoulias, George, et al.
Published: (2024)
by: Rapakoulias, George, et al.
Published: (2024)
Globally Solving Unbalanced Optimal Transport and Density Control for Gaussian Distributions
by: Nakashima, Haruto, et al.
Published: (2026)
by: Nakashima, Haruto, et al.
Published: (2026)
Explicit feedback synthesis for nonlinear robust model predictive control driven by quasi-interpolation
by: Ganguly, Siddhartha, et al.
Published: (2023)
by: Ganguly, Siddhartha, et al.
Published: (2023)
A Dual Approach for Hierarchical Information-Theoretic Tree Abstractions
by: Larsson, Daniel T., et al.
Published: (2025)
by: Larsson, Daniel T., et al.
Published: (2025)
Stabilizing Optimal Control for Nonlinear Stochastic Systems: A Parametric Gradient-Based Approach
by: Ito, Yuji, et al.
Published: (2025)
by: Ito, Yuji, et al.
Published: (2025)
Formation Shape Control using the Gromov-Wasserstein Metric
by: Nakashima, Haruto, et al.
Published: (2025)
by: Nakashima, Haruto, et al.
Published: (2025)
Learning zeros of Fokker-Planck operators
by: Mandal, Pinak, et al.
Published: (2023)
by: Mandal, Pinak, et al.
Published: (2023)
A Spectral Approach to Optimal Control of the Fokker-Planck Equation
by: Kalise, Dante, et al.
Published: (2025)
by: Kalise, Dante, et al.
Published: (2025)
Residual-based attack detection in cyber-physical systems: an optimal transport viewpoint
by: Das, Souvik, et al.
Published: (2026)
by: Das, Souvik, et al.
Published: (2026)
Joint Stochastic Optimal Control and Stopping in Aquaculture: Finite-Difference and PINN-Based Approaches
by: Kamm, Kevin
Published: (2025)
by: Kamm, Kevin
Published: (2025)
Optimal control of a nonlinear kinetic Fokker-Planck equation
by: Breiten, Tobias, et al.
Published: (2025)
by: Breiten, Tobias, et al.
Published: (2025)
Robust maximum hands-off optimal control: existence, maximum principle, and $L^{0}$-$L^1$ equivalence
by: Ganguly, Siddhartha, et al.
Published: (2026)
by: Ganguly, Siddhartha, et al.
Published: (2026)
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
by: Magnino, Lorenzo, et al.
Published: (2024)
by: Magnino, Lorenzo, et al.
Published: (2024)
Optimal Control of Discrete-Time Nonlinear Systems
by: Lv, Chuanzhi, et al.
Published: (2024)
by: Lv, Chuanzhi, et al.
Published: (2024)
Entropy Regularization in Mean-Field Games of Optimal Stopping
by: Dianetti, Jodi, et al.
Published: (2025)
by: Dianetti, Jodi, et al.
Published: (2025)
Variational Dynamic Programming for Stochastic Optimal Control
by: Lambert, Marc, et al.
Published: (2024)
by: Lambert, Marc, et al.
Published: (2024)
Stochastic Kinematic Optimal Control on SO(3)
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
by: Oikonomidis, Konstantinos, et al.
Published: (2025)
by: Oikonomidis, Konstantinos, et al.
Published: (2025)
Near-Optimal Performance of Stochastic Model Predictive Control
by: Shin, Sungho, et al.
Published: (2022)
by: Shin, Sungho, et al.
Published: (2022)
Stochastic Optimal Control via Local Occupation Measures
by: Holtorf, Flemming, et al.
Published: (2022)
by: Holtorf, Flemming, et al.
Published: (2022)
Dual Control for Interactive Autonomous Merging with Model Predictive Diffusion
by: Knaup, Jacob, et al.
Published: (2025)
by: Knaup, Jacob, et al.
Published: (2025)
Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems
by: Liu, Fengjiao, et al.
Published: (2022)
by: Liu, Fengjiao, et al.
Published: (2022)
A Neural Network Approach for Stochastic Optimal Control
by: Li, Xingjian, et al.
Published: (2022)
by: Li, Xingjian, et al.
Published: (2022)
Bi-Level-Based Inverse Stochastic Optimal Control
by: Karg, Philipp, et al.
Published: (2023)
by: Karg, Philipp, et al.
Published: (2023)
Similar Items
-
Optimal Control of the Nonlinear Stochastic Fokker--Planck Equation
by: Hambly, Ben, et al.
Published: (2024) -
Covariance Steering of Discrete-Time Markov Jump Linear Systems with Multiplicative Noise
by: Wang, Fangji, et al.
Published: (2026) -
Recursively Feasible Stochastic Model Predictive Control for Time-Varying Linear Systems Subject to Unbounded Disturbances
by: Knaup, Jacob W., et al.
Published: (2024) -
Unbalanced Optimal Transport and Density Control for Discrete-Time Linear Systems
by: Nakashima, Haruto, et al.
Published: (2026) -
Improving the Convergence Rates for the Kinetic Fokker-Planck Equation by Optimal Control
by: Breiten, Tobias, et al.
Published: (2022)