2 citations · 2 across the 5 of their papers we have counts for
6 papers
A Linear Push-Pull Average Consensus Algorithm for Delay-Prone Networks
Evagoras Makridis, Themistoklis Charalambous
In this paper, we address the average consensus problem of multi-agent systems for possibly unbalanced and delay-prone networks with directional information flow. We propose a line…
Distributed Estimation and Control for LTI Systems under Finite-Time Agreement
Camilla Fioravanti, Evagoras Makridis, Gabriele Oliva +2
This paper considers a strongly connected network of agents, each capable of partially observing and controlling a discrete-time linear time-invariant (LTI) system that is jointly…
Maximum Correntropy Criterion Kalman Filter For Indoor Quadrotor Navigation Under Intermittent Measurements
Loizos Hadjiloizou, Evagoras Makridis, Themistoklis Charalambous +1
We present a multisensor fusion framework for the onboard real-time navigation of a quadrotor in an indoor environment. The framework integrates sensor readings from an Inertial Me…
Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication
Loizos Hadjiloizou, Kyriakos M. Deliparaschos, Evagoras Makridis +1
We propose a multisensor fusion framework for onboard real-time navigation of a quadrotor in an indoor environment, by integrating sensor readings from an Inertial Measurement Unit…
ARQ-based Average Consensus over Directed Network Topologies with Unreliable Communication Links
Evagoras Makridis, Themistoklis Charalambous, Christoforos N. Hadjicostis
In this paper, we address the discrete-time average consensus problem in strongly connected directed graphs, where nodes exchange information over unreliable error-prone communicat…
Robust Dynamic CPU Resource Provisioning in Virtualized Servers
Evagoras Makridis, Kyriakos Deliparaschos, Evangelia Kalyvianaki +2
We present robust dynamic resource allocation mechanisms to allocate application resources meeting Service Level Objectives (SLOs) agreed between cloud providers and customers. In…