0363838 20240103195502.220110913235959.9 4 s. cd-rom cav_un_epca*0363837978-1-4577-0016-31-4ToulouseIEEE2011 soft sensor rolling mill cav_un_auth*0212695 Ettler P. CZ cav_un_auth*0242543 Dedecius Kamil Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0021052 Juričič D. SI cav_un_auth*0274172 Preglej A. SI http://library.utia.cas.cz/separaty/2011/AS/dedecius-advanced soft sensor technology to be used for cold rolling mills.pdf 7D09008 GA MŠk CZ cav_un_auth*0261683 CEZ:AV0Z10750506 The use of data-driven soft sensors instead of expensive or even non-existent hardware sensors has become increasingly popular in the last two decades. Among others, they allow to reliably substitute the direct measurements with their predictions based on several related measured variables. The reason for such an indirect solution lies mostly in the absence or technical unsuitability of a reliable direct measurement of the variable of interest. This is the case of the real value of the rolling gap which substantially influences strip thickness when processed on a cold rolling mill. Although several successful approaches are being widely used for the thickness control, complementary solutions are sought permanently to improve control quality in anomalous situations and to further reduce off-tolerance parts of the rolled strip. cav_un_auth*0274173 16th IEEE International Conference on Emerging Technologies and Factory Automation ETFA'2011 Toulouse 05.09.2011-09.09.2011 FR 2012 IN 4 http://hdl.handle.net/11104/0199488 2011 cav_un_epca*0363837 Proceedings of the 16th IEEE International Conference on Emerging Technologies and Factory Automation 978-1-4577-0016-3 1 4 Toulouse IEEE 2011