14th IFAC Symposium on System Identification, SYSID 2006

SYSID-2006 Paper Abstract


Paper FrB5.6

Goodwin, Graham C. (Univ. of Newcastle), Welsh, James (Univ. of Newcastle), Feuer, Arie (Technion), Derpich, Milan (Univ. of Newcastle)

Utilizing Prior Knowledge in Robust Optimal Experiment Design

Scheduled for presentation during the Invited Session "Input and Perturbation Signal Design for System Identification II" (FrB5), Friday, March 31, 2006, 17:10−17:30, Mulubinba Room

14th IFAC Symposium on System Identification, March 29 - 31, 2006, Newcastle, Australia

This information is tentative and subject to change. Compiled on September 24, 2018

Keywords Input and Excitation Design, Identification for Control


In this paper we propose a new approach to robust optimal experiment design. The key departure from earlier work is that we specifically account for the fact that, prior to the experiment, we possess only partial knowledge of the system. We also give a detailed analysis of the solution for a simple case and propose a concave optimization algorithm that can be applied more generally.