most citedDistributed Dual Quaternion Extended Kalman Filtering for Spacecraft Pose Estimation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2025

A polynomial-based QCQP solver for encrypted optimization

Sebastian Schlor, Andrea Iannelli, Junsoo Kim +2

In this paper, we present a novel method for solving a class of quadratically constrained quadratic optimization problems using only additions and multiplications. This approach en…

math.OC2025

Complexity guarantees for risk-neutral generalized Nash equilibrium problems

Haochen Tao, Andrea Iannelli, Meggie Marschner +3

In this paper, we address \ac{SGNEP} seeking with risk-neutral agents. Our main contribution lies the development of a stochastic variance-reduced gradient (SVRG) technique, modifi…

eess.SY2025

Robustness of Online Identification-based Policy Iteration to Noisy Data

Bowen Song, Andrea Iannelli

This article investigates the core mechanisms of indirect data-driven control for unknown systems, focusing on the application of policy iteration (PI) within the context of the li…

math.OC20241 cited

Distributed Dual Quaternion Extended Kalman Filtering for Spacecraft Pose Estimation

Mathias Hudoba de Badyn, Jonas Binz, Andrea Iannelli +1

In this paper, a distributed dual-quaternion multiplicative extended Kalman filter for the estimation of poses and velocities of individual satellites in a fleet of spacecraft is a…

math.OC2024

Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems

Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2

This paper develops a data-driven stabilization method for continuous-time linear time-invariant systems with theoretical guarantees and no need for signal derivatives. The framewo…

eess.SY2024

The Role of Identification in Data-driven Policy Iteration: A System Theoretic Study

Bowen Song, Andrea Iannelli

The goal of this article is to study fundamental mechanisms behind so-called indirect and direct data-driven control for unknown systems. Specifically, we consider policy iteration…