Abstract
This paper uses prediction error identification to distinguish control-relevant system changes in closed-loop operation from variations in disturbance characteristics. The approach consists of a hypothesis test to verify whether an identified model of the true system lies in a set containing all models that exhibit adequate closed-loop performance. To increase the detection probability, i.e. the probability of choosing the correct hypothesis, experiment design is performed to devise an excitation signal for closed-loop identification of the system dynamics. For a given identification cost, this allows us to maximize the probability that an identified model of the system lies in the performance-related region of interest in accordance with the hypothesis test and, therefore, decrease the probability of opting for an erroneous hypothesis.
Original language | English |
---|---|
Title of host publication | Proceedings of the 16th IFAC Symposium on System Identification (SYSID 2012), 11-13 July 2012, Brussels, Belgium |
Editors | J. Schoukens, R. Bitmead |
Publisher | IFAC |
Pages | 1341-1346 |
DOIs | |
Publication status | Published - 2012 |
Event | 16th IFAC Symposium on System Identification (SYSID 2012) - Brussels, Belgium Duration: 11 Jul 2012 → 13 Jul 2012 |
Conference
Conference | 16th IFAC Symposium on System Identification (SYSID 2012) |
---|---|
Abbreviated title | SYSID 2012 |
Country/Territory | Belgium |
City | Brussels |
Period | 11/07/12 → 13/07/12 |