Tuning for robustness and performance using iterative feedback tuning
2002 (English)In: Proceedings of the IEEE Conference on Decision and Control, 2002, Vol. 4, 4682-4687 p.Conference paper (Refereed)
Iterative Feedback Tuning (IFT) is a direct tuning method using closed loop experimental data. The method is based on numerical optimization. In each iteration of the optimisation an unbiased gradient estimate is used. In this contribution the results of  are refined and developed further. Improvements are introduced on the optimization procedures of the IFT scheme to allow for joint optimization of non-conflicting criteria of stability robustness and performance. Also the case of weighted additive uncertainty is considered as an alternative to the co-prime factor perturbations as used by Glover and McFarlane [3,4]. Optimization of the estimate of the Hâ robustness criterion is now based on global optimization to increase reliability.
Place, publisher, year, edition, pages
2002. Vol. 4, 4682-4687 p.
Closed loop control systems, Global optimization, Iterative methods, Perturbation techniques, Reliability, Robustness (control systems), System stability, Uncertain systems, Co-prime factor perturbations, Iterative feedback tuning, Unbiased gradient estimate, Feedback control
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-28534DOI: 10.1109/CDC.2002.1185117ISBN: 0-7803-7516-5OAI: oai:DiVA.org:kth-28534DiVA: diva2:388197
41st IEEE Conference on Decision and Control LAS VEGAS, NV, DEC 10-13, 2002
FunderSwedish Research Council, 621-1999-179
QC 20110117 NR 201408042011-01-172011-01-142012-01-13Bibliographically approved