Identification for control: closing the loop gives more accurate controllers
1994 (English)In: Proceedings of the IEEE Conference on Decision and Control, Lake Buena Vista, FL, USA, 1994, Vol. 4, no Piscataway, NJ, United States, 4150-4155 p.Conference paper (Refereed)
We compare open loop versus closed loop identification when the identified model is used for control design, and when the system itself belongs to the model class, so that only variance errors are relevant. For three different control design criteria (minimum variance, LQG and model) reference control) we show that, under those conditions, a better performance is achieved by closing the loop during the identification. The measure of performance is the variance of the error between the output of the ideal closed loop system (with the ideal controller) and that of the actual closed loop system (with the controller computed from the identified model).
Place, publisher, year, edition, pages
Lake Buena Vista, FL, USA, 1994. Vol. 4, no Piscataway, NJ, United States, 4150-4155 p.
, Proceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4)
Calculations, Closed loop control systems, Control system synthesis, Errors, Least squares approximations, Linear control systems, Mathematical models, Optimal control systems, Perturbation techniques, Set theory, Time varying control systems, Transfer functions, Least squares prediction error, Linear quadratic Gaussian design, Minimum variance control design, Model reference design, Identification (control systems)
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-60594DOI: 10.1109/CDC.1994.411599OAI: oai:DiVA.org:kth-60594DiVA: diva2:477511
Sponsors: IEEE NR 201408052012-01-132012-01-132012-01-13Bibliographically approved