From the 1 of 8 linked papers with an AI index.
8 papers
Structural Averaged Controllability for Linear Ensemble Systems: Multi-input Case
Amirreza Neshaei Moghaddam, Xudong Chen, Bahman Gharesifard
The paper provides a complete characterization of structural averaged controllability for multi‑input linear ensemble systems, showing that besides accessibility, a row‑saturating…
From Schrodinger Bridge to Optimal Transport over Sub-Riemannian Manifolds
Daniel Owusu Adu, Karthik Elamvazhuthi, Bahman Gharesifard
We study the least-energy way to reshape a probability distribution when motion is constrained to a horizontal bundle, that is, optimal transport and distribution steering in sub-R…
Global exponential stabilization of a force- and torque-actuated unicycle by flexible-step MPC
Ala Kolsi, Christian Ebenbauer, Bahman Gharesifard +1
We study the problem of global exponential stabilization of a force- and torque-controlled unicycle model in discrete time. To this end, we extend a recently introduced approach to…
On Reward-Balancing Methods for Reinforcement Learning
Simone Baroncini, Bahman Gharesifard, Giuseppe Notarstefano
This paper investigates the so-called reward-balancing methods, a novel class of algorithms for solving discounted-return reinforcement learning (RL) problems. These methods consis…
Sample Complexity of Linear Quadratic Regulator Without Initial Stability
Amirreza Neshaei Moghaddam, Alex Olshevsky, Bahman Gharesifard
Inspired by REINFORCE, we introduce a novel receding-horizon algorithm for the Linear Quadratic Regulator (LQR) problem with unknown dynamics. Unlike prior methods, our algorithm a…
Flexible-step MPC for Unknown Linear Time-Invariant Systems
Markus Pietschner, Christian Ebenbauer, Bahman Gharesifard +1
We propose a novel flexible-step model predictive control algorithm for unknown linear time-invariant discrete-time systems. The goal is to asymptotically stabilize the system with…