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Extremum control of linear systems based on output feedback

In this paper we consider the problem of steering a linear system to an unknown setpoint that is defined as the minimizer of an optimization problem. We give a gradient-based solution as well as a gradient-free approximation that, in the spirit of extremum seeking control, only requires measurements of the objective function. We further show that in both cases dynamic output feedback can be used if full state measurements are not available.