Abstract:
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-b...Show MoreMetadata
Abstract:
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.
Published in: 2016 IEEE 55th Conference on Decision and Control (CDC)
Date of Conference: 12-14 December 2016
Date Added to IEEE Xplore: 29 December 2016
ISBN Information: