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eess.SY2018★ 1 cited
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…
eess.SY2016
Gradient approximation and extremum seeking via needle variations
Simon Michalowsky, Christian Ebenbauer
We consider a gradient approximation scheme that is based on applying needle shaped inputs. By using ideas known from the classic proof of the Pontryagin Maximum Principle we deriv…