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. |
Year | Venue | Field |
---|---|---|
2016 | 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | Mathematical optimization,Linear system,Control theory,Computer science,Setpoint,Symmetric matrix,Linear programming,Optimization problem |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simon Michalowsky | 1 | 6 | 3.21 |
Christian Ebenbauer | 2 | 200 | 30.31 |