3 citations · 3 across the 8 of their papers we have counts for
5 papers · 1 filter
Multi-Level Multi-Fidelity Methods for Path Integral and Safe Control
Zhuoyuan Wang, Takashi Tanaka, Yongxin Chen +1
Sampling-based approaches are widely used in systems without analytic models to estimate risk or find optimal control. However, gathering sufficient data in such scenarios can be p…
Model Predictive Control with High-Probability Safety Guarantee for Nonlinear Stochastic Systems
Zishun Liu, Liqian Ma, Yongxin Chen
We present a model predictive control (MPC) framework for nonlinear stochastic systems that ensures safety guarantee with high probability. Unlike most existing stochastic MPC sche…
Safety Verification of Nonlinear Stochastic Systems via Probabilistic Tube
Zishun Liu, Saber Jafarpour, Yongxin Chen
We address the problem of safety verification for nonlinear stochastic systems, specifically the task of certifying that system trajectories remain within a safe set with high prob…
Probabilistic Reachability of Discrete-Time Nonlinear Stochastic Systems
Zishun Liu, Saber Jafarpour, Yongxin Chen
In this paper we study the reachability problem for discrete-time nonlinear stochastic systems. Our goal is to present a unified framework for calculating the probabilistic reachab…
Data-Driven Adversarial Online Control for Unknown Linear Systems
Zishun Liu, Yongxin Chen
We consider the online control problem with an unknown linear dynamical system in the presence of adversarial perturbations and adversarial convex loss functions. Although the prob…