We present an adaptive sliding-mode extremum seeker that minimizes an unknown function that is subject to an unknown static constraint. The same algorithm can be applied when the static constraint is replaced by a dynamic one, provided that the dynamics possess strong stability properties. The application and feasibility study is focused on hydrogen consumption minimization in PEM fuel cell based systems.


adaptive control, automation, control nonlinearities.

Author keywords

fuel cell, extremum seeking, hydrogen minimization, sliding modes

Scientific reference

C. Kunusch and F. Castaños. Extremum seeking algorithms for minimal hydrogen consumption in PEM fuel cells, 2013 American Control Conference, 2013, Washington DC, pp. 1144-1149.