Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems
Handling uncertainty in model predictive control comes with various challenges, especially
when considering state constraints under uncertainty. Most methods focus on either the …
when considering state constraints under uncertainty. Most methods focus on either the …
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants
Trajectory planning for autonomous driving is challenging because the unknown future
motion of traffic participants must be accounted for, yielding large uncertainty. Stochastic …
motion of traffic participants must be accounted for, yielding large uncertainty. Stochastic …
Stochastic Model Predictive Control With Minimal Constraint Violation Probability for Time-Variant Chance Constraints
Despite the effectiveness of Robust and Stochastic Model Predictive Control, not all
scenarios require robust trajectories or permit constraint violations. Achieving a balance …
scenarios require robust trajectories or permit constraint violations. Achieving a balance …
Distributionally robust optimization: a novel approach with decision-dependent ambiguity sets and an application to mode estimation
DF Fonseca Valero - 2023 - repositorio.uniandes.edu.co
This Ph. D. thesis explores stochastic optimization from a Distributionally Robust
perspective, focusing on two significant themes: the innovative use of decision variable …
perspective, focusing on two significant themes: the innovative use of decision variable …