5 citations · 7 across the 27 of their papers we have counts for
11 papers · 1 filter
Reachability Analysis of the State Transition and State Covariance Matrices for an LTV System
Fengjiao Liu, Yixiao Zhang, Panagiotis Tsiotras
In this paper, we study the reachability of two closely related matrices appearing in the analysis of linear time-varying (LTV) systems over a finite time interval, namely, its clo…
Nonlinear Stochastic Density Steering via Gaussian Mixture Schrodinger Bridges and Multiple Linearizations
Mattia Mosso, George Rapakoulias, Yue Guan +1
The paper studies the optimal density steering problem for nonlinear continuous-time stochastic systems. To accurately capture nonlinear dynamics in high-uncertainty regions that d…
Data-Driven Covariance Steering with Output Feedback
Dimitrios Moustroufis, Panagiotis Tsiotras
This paper addresses output-feedback covariance steering for stochastic discrete-time linear time-invariant systems with unknown dynamics. We construct a controllable non-minimal s…
Schrodinger Bridges and Density Steering Problems for Gaussian Mixtures Models in Discrete-Time
George Rapakoulias, Fengjiao Liu, Panagiotis Tsiotras
In this work, we revisit the discrete-time Schrödinger Bridge (SB) and Density Steering (DS) problems for Gaussian mixture model (GMM) boundary distributions. Building on the exist…
Stochastic Control of UAVs: An Optimal Tradeoff between Performance, Flight Smoothness and Control Effort
George Rapakoulias, Panagiotis Tsiotras
Safe and accurate control of unmanned aerial vehicles in the presence of winds is a challenging control problem due to the hard-to-model and highly stochastic nature of the disturb…
Discrete-Time Maximum Likelihood Neural Distribution Steering
George Rapakoulias, Panagiotis Tsiotras
This paper studies the problem of steering the distribution of a discrete-time dynamical system from an initial distribution to a target distribution in finite time. The formulatio…
DUST: A Framework for Data-Driven Density Steering
Joshua Pilipovsky, Panagiotis Tsiotras
We consider the problem of data-driven stochastic optimal control of an unknown LTI dynamical system. Assuming the process noise is normally distributed, we pose the problem of ste…
Reachability and Controllability Analysis of the State Covariance for Linear Stochastic Systems
Fengjiao Liu, Panagiotis Tsiotras
This paper studies the set of terminal state covariances that are reachable over a finite time horizon from a given initial state covariance for a linear stochastic system with add…
Adaptive Dual Covariance Steering with Active Parameter Estimation
Jacob W. Knaup, Panagiotis Tsiotras
This work examines the optimal covariance steering problem for systems subject to unknown parameters that enter multiplicatively with the state and control, in addition to additive…
Data-Driven Robust Covariance Control for Uncertain Linear Systems
Joshua Pilipovsky, Panagiotis Tsiotras
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 accura…
Optimal Covariance Steering for Continuous-Time Linear Stochastic Systems With Additive Noise
Fengjiao Liu, Panagiotis Tsiotras
In this paper, 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 addi…