Experiment Design and Identification for Control
The experimental conditions have a major impact on the estimation result. Therefore, the available degrees of freedom in this respect that are at the disposal to the user should be used wisely. This entry provides the fundamentals for the available techniques. We also briefly discuss the particulars of identification for model-based control, one of the main applications of system identification.
KeywordsAdaptive experiment design Application-oriented experiment design Cramér-Rao lower bound Crest factor Experiment design Fisher information matrix Identification for control Least-costly identification Multisine Pseudorandom binary signal (PRBS) Robust experiment design
This work was supported by the European Research Council under the advanced grant LEARN, contract 267381, and by the Swedish Research Council, contracts 2016-06079.