<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">D. Tesch</style></author><author><style face="normal" font="default" size="100%">D. Eckhard</style></author><author><style face="normal" font="default" size="100%">A. S. Bazanella</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Iterative feedback tuning for cascade systems</style></title><secondary-title><style face="normal" font="default" size="100%">2016 European Control Conference (ECC)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cost function</style></keyword><keyword><style  face="normal" font="default" size="100%">Electronic mail</style></keyword><keyword><style  face="normal" font="default" size="100%">Iterative methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Mathematical model</style></keyword><keyword><style  face="normal" font="default" size="100%">Transfer functions</style></keyword><keyword><style  face="normal" font="default" size="100%">Tuning</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Aalborg</style></pub-location><pages><style face="normal" font="default" size="100%">495–500</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Iterative Feedback Tuning (IFT) is a data-driven method used to tune parameters of feedback controllers minimising an H2 criterion. The method uses data from experiments to estimate the gradient of the criterion, and uses iterative quasinewton algorithms to adjust the controllers. When the method is used in cascade systems, usually the inner loop is firstly adjusted, and after the outer loop. In this article we describe an extension to the IFT method that adjusts both inner and outer loop at the same time using only data from closed-loop experiments at each iteration.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">n/a</style></notes></record></records></xml>