3 citations · 7 across the 9 of their papers we have counts for
6 papers · 1 filter
Online Residual Learning from Offline Experts for Pedestrian Tracking
Anastasios Vlachos, Anastasios Tsiamis, Aren Karapetyan +2
In this paper, we consider the problem of predicting unknown targets from data. We propose Online Residual Learning (ORL), a method that combines online adaptation with offline-tra…
Secure state estimation over Markov wireless communication channels (extended version)
Anastasia Impicciatore, Anastasios Tsiamis, Yuriy Zacchia Lun +2
This note studies state estimation in wireless networked control systems with secrecy against eavesdropping. Specifically, a sensor transmits a system state information to the esti…
Adaptive Stochastic MPC under Unknown Noise Distribution
Charis Stamouli, Anastasios Tsiamis, Manfred Morari +1
In this paper, we address the stochastic MPC (SMPC) problem for linear systems, subject to chance state constraints and hard input constraints, under unknown noise distribution. Fi…
Linear Systems can be Hard to Learn
Anastasios Tsiamis, George J. Pappas
In this paper, we investigate when system identification is statistically easy or hard, in the finite sample regime. Statistically easy to learn linear system classes have sample c…
Risk-Constrained Linear-Quadratic Regulators
Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon +2
We propose a new risk-constrained reformulation of the standard Linear Quadratic Regulator (LQR) problem. Our framework is motivated by the fact that the classical (risk-neutral) L…
Sample Complexity of Kalman Filtering for Unknown Systems
Anastasios Tsiamis, Nikolai Matni, George J. Pappas
In this paper, we consider the task of designing a Kalman Filter (KF) for an unknown and partially observed autonomous linear time invariant system driven by process and sensor noi…