2026-09-04T19:09:43Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1348892025-04-30T20:38:02Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Calvo Rolle, José L. Corchado Rodríguez, Emilio Santiago Ferreiro García, Ramón Laham, Amer Sánchez Sánchez, María Araceli Gil González, Ana Belén 2017-09-06T09:14:33Z 2017-09-06T09:14:33Z 2011 Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 87, pp. 427-436. 978-3-642-19643-0 (Print) / 978-3-642-19644-7 (Online) 1867-5662(Print)/ 1867-5670(Online) http://hdl.handle.net/10366/134889 The aim of this study is to present a novel soft computing method to assure PID tuning parameters place the system into a stable region by applying the gain scheduling method. First the system is identified for each significant operation point. Then using transfer functions solid structures of stability are calculated to program artificial neural networks, whose object is to prevent system from transitioning to instability. The method is verified empirically under a data set obtained by a pilot plant. en https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 Unported Computer Science A Novel Method to Prevent Control System Instability Based on a Soft Computing Knowledge System info:eu-repo/semantics/conferenceObject