21 citations · 47 across the 13 of their papers we have counts for
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eess.SY2021★ 21 cited
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…
eess.SY2021
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…