14 citations · 23 across the 4 of their papers we have counts for
3 papers · 1 filter
Characterizing the learning dynamics in extremum seeking
Stefan Wildhagen, Simon Michalowsky, Jan Feiling +1
We consider perturbation-based extremum seeking, which recovers an approximate gradient of an analytically unknown objective function through measurements. Using classical needle v…
On the Lie bracket approximation approach to distributed optimization: Extensions and limitations
Simon Michalowsky, Bahman Gharesifard, Christian Ebenbauer
We consider the problem of solving a smooth convex optimization problem with equality and inequality constraints in a distributed fashion. Assuming that we have a group of agents a…
A family of extremum seeking laws for a unicycle model with a moving target: theoretical and experimental studies
Victoria Grushkovskaya, Simon Michalowsky, Alexander Zuyev +2
In this paper, we propose and practically evaluate a class of gradient-free control functions ensuring the motion of a unicycle-type system towards the extremum point of a time-var…