Autonomous racing is a high-performance, safety-critical task that inherently involves a high
degree of uncertainty (especially in off-road unstructured environments), as driving …

In this paper, the problem of active fault diagnosis (AFD) is investigated for a class of linear
stochastic systems subject to chance constraints, where the input signals are specifically …

In this paper, we study the optimal control problem for steering the state covariance of a
discrete-time linear stochastic system over a finite time horizon. First, we establish the …

This paper addresses the problem of stochastic trajectory planning for 6-DOF spacecraft
close proximity in the presence of external disturbances and initial state uncertainties …

In this paper, we study the finite-horizon optimal covariance steering problem for a
continuous-time linear stochastic system subject to both additive and multiplicative noise …

In this article, we study the problem of how to optimally steer the state covariance of a
general continuous-time linear stochastic system over a finite time interval subject to additive …

This article extends the optimal covariance steering (CS) problem for discrete time linear
stochastic systems modeled using moment-based ambiguity sets. To hedge against …

Standard chance-constrained spacecraft maneuver design algorithms typically rely on the
assumption that the spacecraft state uncertainties obey Gaussian distributions. However …

Standard chance-constrained trajectory control algorithms typically rely on the assumption
that the vehicle state uncertainties obey Gaussian distributions. While this is a valid …

The theory of covariance control and covariance steering (CS) deals with controlling the
dispersion of trajectories of a dynamical system, under the implicit assumption that accurate …