Cover Image

Probabilistic Trajectory Design Via Approximate Gaussian Mixture Steering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fife, William, Ghosh, Pradipto, DeMars, Kyle
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sub-Optimal Fast Fourier Series Approximation for Initial Trajectory Design
by: Gunsaulus, Caleb, et al.
Published: (2024)

Non-Gaussian Distribution Steering in Nonlinear Dynamics with Conjugate Unscented Transformation
by: Qi, Daniel C., et al.
Published: (2025)

Distributionally Robust Model Predictive Control with Mixture of Gaussian Processes
by: Wu, Jingyi, et al.
Published: (2025)

Sliced Wasserstein Steering between Gaussian Measures
by: Ito, Kaito, et al.
Published: (2026)

Deterministic Trajectory Optimization through Probabilistic Optimal Control
by: Filabadi, Mohammad Mahmoudi, et al.
Published: (2024)

Distributed Safe Control Design and Probabilistic Safety Verification for Multi-Agent Systems
by: Wang, Han, et al.
Published: (2023)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
by: Cordiano, Francesco, et al.
Published: (2025)

Design of Initial Guess Low Thrust Trajectories Using Clohessy-Wiltshire Equations
by: Vijayakumar, Madhusudan, et al.
Published: (2024)

On Correcting Errors in Existing Mathematical Approaches for UAV Trajectory Design Considering No-Fly-Zones
by: Heo, Kanghyun, et al.
Published: (2023)

Safe-by-Design: Approximate Nonlinear Model Predictive Control with Real Time Feasibility
by: Olucak, Jan, et al.
Published: (2025)

DUST: A Framework for Data-Driven Density Steering
by: Pilipovsky, Joshua, et al.
Published: (2024)

Distribution Steering for Discrete-Time Uncertain Ensemble Systems
by: Wu, Guangyu, et al.
Published: (2024)

Steady State Covariance Steering via Sparse Intervention
by: Inoue, Yosuke, et al.
Published: (2026)

Neural Approximators for Low-Thrust Trajectory Transfer Cost and Reachability
by: Zhang, Zhong, et al.
Published: (2025)

Parametric Reachable Sets Via Controlled Dynamical Embeddings
by: Harapanahalli, Akash, et al.
Published: (2025)

Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints
by: Gharavi, Leila, et al.
Published: (2024)

Optimal Covariance Steering of Linear Stochastic Systems with Hybrid Transitions
by: Yu, Hongzhe, et al.
Published: (2024)

Convex Block-Cholesky Approach to Risk-Constrained Low-thrust Trajectory Design under Operational Uncertainty
by: Oguri, Kenshiro, et al.
Published: (2026)

Probabilistic Robustness in the Gap Metric
by: Renganathan, Venkatraman
Published: (2025)

Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents
by: Fabiani, Filippo, et al.
Published: (2023)

General Distribution Steering: A Sub-Optimal Solution by Convex Optimization
by: Wu, Guangyu, et al.
Published: (2023)

Probabilistic Game-Theoretic Traffic Routing
by: Benenati, Emilio, et al.
Published: (2023)

Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
by: Huertas, Jorge A., et al.
Published: (2024)

Covariance Steering of Discrete-Time Markov Jump Linear Systems with Multiplicative Noise
by: Wang, Fangji, et al.
Published: (2026)

Chance-Constrained Gaussian Mixture Steering to a Terminal Gaussian Distribution
by: Kumagai, Naoya, et al.
Published: (2024)

Probabilistic Reachability Analysis of Stochastic Control Systems
by: Jafarpour, Saber, et al.
Published: (2024)

Performance Evaluation of Damping Systems in Civil Engineering Structures Via Minimal Sensor
by: He, Xinhao, et al.
Published: (2024)

Free Final Time Adaptive Mesh Covariance Steering via Sequential Convex Programming
by: Pilipovsky, Joshua
Published: (2026)

Constrained Multi-Modal Density Control of Linear Systems via Covariance Steering Theory
by: Balci, Isin M, et al.
Published: (2025)

Randomized Transport Plans via Hierarchical Fully Probabilistic Design
by: Y., Sarah Boufelja, et al.
Published: (2024)

Solution of the Probabilistic Lambert's Problem: Optimal Transport Approach
by: Teter, Alexis M. H., et al.
Published: (2024)

Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems
by: Liu, Zishun, et al.
Published: (2024)

Distributed Covariance Steering via Non-Convex ADMM for Large-Scale Multi-Agent Systems
by: Saravanos, Augustinos D., et al.
Published: (2026)

On Computation of Approximate Solutions to Large-Scale Backstepping Kernel Equations via Continuum Approximation
by: Humaloja, Jukka-Pekka, et al.
Published: (2024)

Koopman Based Trajectory Optimization with Mixed Boundaries
by: Abou-Taleb, Mohamed, et al.
Published: (2024)

Mixtures of ensembles: System separation and identification via optimal transport
by: Elvander, Filip, et al.
Published: (2025)

Approximate Dynamic Programming with Feasibility Guarantees
by: Engelmann, Alexander, et al.
Published: (2023)

Probabilistic Reachable Set Estimation for Saturated Systems with Unbounded Additive Disturbances
by: Karam, Carlo, et al.
Published: (2025)

On-Line Policy Iteration with Trajectory-Driven Policy Generation
by: Li, Yuchao, et al.
Published: (2026)

Intrinsic Successive Convexification: Trajectory Optimization on Smooth Manifolds
by: Kraisler, Spencer, et al.
Published: (2025)