21 citations · 47 across the 13 of their papers we have counts for
15 papers
Federated Learning in Wireless Networks via Over-the-Air Computations
Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler +1
In a multi-agent system, agents can cooperatively learn a model from data by exchanging their estimated model parameters, without the need to exchange the locally available data us…
Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks
Michael Meindl, Fabio Molinari, Dustin Lehmann +1
Multi-agent systems (MASs) can autonomously learn to solve previously unknown tasks by means of each agent's individual intelligence as well as by collaborating and exploiting coll…
Real-Time Distributed Automation Of Road Intersections
Fabio Molinari, Alexander Katriniok, Joerg Raisch
The topic of this paper is the design of a fully distributed and real-time capable control scheme for the automation of road intersections. State of the art Vehicle-to-Vehicle (V2V…
Low Complexity Method for Simulation of Epidemics Based on Dijkstra's Algorithm
Davide Zorzenon, Fabio Molinari, Joerg Raisch
Models of epidemics over networks have become popular, as they describe the impact of individual behavior on infection spread. However, they come with high computational complexity…
Lyapunov Stability of a Nonlinear Bio-inspired System for the Control of Humanoid Balance
Vittorio Lippi, Fabio Molinari
Human posture control models are used to analyse neurological experiments and control of humanoid robots. This work focuses on a well-known nonlinear posture control model, the DEC…
Max-Consensus Over Fading Wireless Channels
Fabio Molinari, Navneet Agrawal, Sławomir Stanczak +1
The topic of this paper is achieving finite-time max-consensus in a multi-agent system that communicates over a fading wireless channel and exploits its interference property. This…
Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation
Michael Meindl, Fabio Molinari, Jörg Raisch +1
Iterative Learning Control (ILC) schemes can guarantee properties such as asymptotic stability and monotonic error convergence, but do not, in general, ensure adherence to output c…
Distributed Bio-inspired Humanoid Posture Control
Vittorio Lippi, Fabio Molinari, Thomas Seel
This paper presents an innovative distributed bio-inspired posture control strategy for a humanoid, employing a balance control system DEC (Disturbance Estimation and Compensation)…
Efficient Consensus-based Formation Control With Discrete-Time Broadcast Updates
Fabio Molinari, Joerg Raisch
This paper presents a consensus-based formation control strategy for autonomous agents moving in the plane with continuous-time single integrator dynamics. In order to save wireles…
Traffic Automation in Urban Road Networks Using Consensus-based Auction Algorithms For Road Intersections
Fabio Molinari, Alexander Martin Dethof, Joerg Raisch
This paper describes a decentralized control strategy for the automation of road intersections and studies its impact on traffic in a realistic urban road network. The controller i…
Design of a Networked Controller for a Two-Wheeled Inverted Pendulum Robot
Zenit Music, Fabio Molinari, Sebastian Gallenmüller +6
The topic of this paper is to use an intuitive model-based approach to design a networked controller for a recent benchmark scenario. The benchmark problem is to remotely control a…
YatSim: an Open-Source Simulator For Testing Consensus-based Control Strategies in Urban Traffic Networks
Alexander Martin Dethof, Fabio Molinari
This paper presents YatSim, an open-source program for simulating consensus-based control strategies in urban traffic networks. Urban traffic is a multi-agent system which requires…
Exploiting the Superposition Property of Wireless Communication for Max-Consensus Problems in Multi-Agent Systems
Fabio Molinari, Sławomir Stańczak, Jörg Raisch
This paper presents a consensus protocol that achieves max-consensus in multi-agent systems over wireless channels. Interference, a feature of the wireless channel, is exploited: e…
Exploiting the Superposition Property of Wireless Communication For Average Consensus Problems in Multi-Agent Systems
Fabio Molinari, Sławomir Stańczak, Jörg Raisch
This paper studies system stability and performance of multi-agent systems in the context of consensus problems over wireless multiple-access channels (MAC). We propose a consensus…
Automation Of Road Intersections Using Consensus-based Auction Algorithms
Fabio Molinari, Jörg Raisch
This paper investigates a consensus-based auction algorithm in the context of decentralized traffic control. In particular, we study the automation of a road intersection, where a…