21 citations · 21 across the 1 of their papers we have counts for
2 papers
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.SY2020
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…