{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:10:27Z","timestamp":1742955027360,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031180491"},{"type":"electronic","value":"9783031180507"}],"license":[{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T00:00:00Z","timestamp":1665532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-18050-7_45","type":"book-chapter","created":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T19:02:55Z","timestamp":1665514975000},"page":"464-473","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Studying the\u00a0Use of\u00a0ANN to\u00a0Estimate State-Space Variables for\u00a0MIMO Systems in\u00a0a\u00a0NMPC Strategy"],"prefix":"10.1007","author":[{"given":"Aimar","family":"Alonso","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asier","family":"Zabaljauregi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikel","family":"Larrea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eloy","family":"Irigoyen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Sanch\u00eds","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,12]]},"reference":[{"key":"45_CR1","doi-asserted-by":"publisher","unstructured":"Abderrahmene, S., Mohammed, C., Abderrahmane, K., Rachida, H.: Neural network NARMA-L2 control of a twin rotor MIMO system. In: 2019 International Conference on Advanced Electrical Engineering (ICAEE), pp. 1\u20136 (2019). https:\/\/doi.org\/10.1109\/ICAEE47123.2019.9015131.","DOI":"10.1109\/ICAEE47123.2019.9015131."},{"key":"45_CR2","doi-asserted-by":"publisher","unstructured":"Carrillo-Ahumada, J., Reynoso-Meza, G., Garc\u00eda-Nieto, S., Sanchis, J., Garc\u00eda-Alvarado, M.A.: Tuning of pareto-optimal robust controllers for multivariable systems. Application on helicopter of two-degress-of-freedom. RIAI J. 12, 177\u2013188 (2015). https:\/\/doi.org\/10.1016\/j.riai.2015.03.002","DOI":"10.1016\/j.riai.2015.03.002"},{"key":"45_CR3","doi-asserted-by":"publisher","unstructured":"Dendaluce, M., Valera, J.J., G\u00f3mez, V., Irigoyen, E., Larzabal, E.: Microcontroller implementation of a multi objective genetic algorithm for real-time intelligent control. In: Herrero, \u00c1., et al. (eds.) SOCO 2013, vol. 239, pp. 71\u201380. Springer, Cham (2013). https:\/\/doi.org\/10.1007\/978-3-319-01854-6_8","DOI":"10.1007\/978-3-319-01854-6_8"},{"key":"45_CR4","unstructured":"Feedback Instruments, Ltd.: Twin Rotor MIMO System Control Experiments 33\u2013949S. Feedback (2001). https:\/\/www.feedback-shop.co.uk\/twin-rotor-mimo-system-33-007i.html"},{"key":"45_CR5","doi-asserted-by":"publisher","unstructured":"Garc\u00eda, J.J.V., Garay, V.G., Gordo, E.I., Fano, F.A., Sukia, M.L.: Intelligent multi-objective nonlinear model predictive control (iMO-NMPC): towards the \u2018on-line\u2019 optimization of highly complex control problems 39, 6527\u20136540 (2012). https:\/\/doi.org\/10.1016\/j.eswa.2011.12.052","DOI":"10.1016\/j.eswa.2011.12.052"},{"key":"45_CR6","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1016\/0893-6080(90)90005-6","volume":"3","author":"K Hornik","year":"1990","unstructured":"Hornik, K., Stinchcombe, M., White, H.: Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Netw. 3, 551\u2013560 (1990)","journal-title":"Neural Netw."},{"key":"45_CR7","doi-asserted-by":"publisher","unstructured":"Larrea, M., Larzabal, E., Irigoyen, E., Valera, J., Dendaluce, M.: Implementation and testing of a soft computing based model predictive control on an industrial controller. J. Appl. Logic 13(2, Part A), 114\u2013125 (2015). https:\/\/doi.org\/10.1016\/j.jal.2014.11.005, sI: SOCO12","DOI":"10.1016\/j.jal.2014.11.005"},{"key":"45_CR8","doi-asserted-by":"publisher","unstructured":"Larzabal, E., Cubillos, J.A., Larrea, M., Irigoyen, E., Valera, J.J.: Soft computing testing in real industrial platforms for process intelligent control. In: Snasel, V., et al. (eds.) SOCO 2012. AISC, vol. 188, pp. 221\u2013230. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-32922-7_23","DOI":"10.1007\/978-3-642-32922-7_23"},{"key":"45_CR9","doi-asserted-by":"publisher","unstructured":"Lu, C.H., Tsai, C.C.: MIMO neural-network predictive controller design. In: 30th Annual Conference of IEEE Industrial Electronics Society, IECON 2004. vol. 2, pp. 1733\u20131738 (2004). https:\/\/doi.org\/10.1109\/IECON.2004.1431843","DOI":"10.1109\/IECON.2004.1431843"},{"key":"45_CR10","doi-asserted-by":"publisher","unstructured":"Marchante, G., Acosta, A., Gonz\u00e1lez, A., Zamarre\u00f1o, J., \u00c1lvarez, V.: Comfort constraints evaluation in predictive controller for energy efficiency. RIAI J. 18(2), 146\u2013159 (2021). https:\/\/doi.org\/10.4995\/riai.2020.13937","DOI":"10.4995\/riai.2020.13937"},{"key":"45_CR11","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.isatra.2020.03.001","volume":"102","author":"N Norsahperi","year":"2020","unstructured":"Norsahperi, N., Danapalasingam, K.: Particle swarm-based and neuro-based FOPID controllers for a twin rotor system with improved tracking performance and energy reduction. ISA Trans. 102, 230\u2013244 (2020). https:\/\/doi.org\/10.1016\/j.isatra.2020.03.001","journal-title":"ISA Trans."},{"issue":"3","key":"45_CR12","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1007\/s40313-017-0311-5","volume":"28","author":"R Raghavan","year":"2017","unstructured":"Raghavan, R., Thomas, S.: Practically implementable model predictive controller for a twin rotor multi-input multi-output system. J. Control Autom. Electr. Syst. 28(3), 358\u2013370 (2017). https:\/\/doi.org\/10.1007\/s40313-017-0311-5","journal-title":"J. Control Autom. Electr. Syst."},{"key":"45_CR13","doi-asserted-by":"publisher","unstructured":"Schaaf, M.: Hybrid model predictive control of a gravity separator with intermittent product extraction. RIAI J. 17(3), 318\u2013328 (2020). https:\/\/doi.org\/10.4995\/riai.2020.11957","DOI":"10.4995\/riai.2020.11957"},{"key":"45_CR14","doi-asserted-by":"publisher","unstructured":"Tiwalkar, R.G., Vanamane, S.S., Karvekar, S.S., Velhal, S.B.: Model predictive controller for position control of twin rotor MIMO system. In: 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), pp. 952\u2013957 (2017). https:\/\/doi.org\/10.1109\/ICPCSI.2017.8391852","DOI":"10.1109\/ICPCSI.2017.8391852"},{"key":"45_CR15","doi-asserted-by":"publisher","unstructured":"Ulasyar, A., Zad, H.S.: Robust & optimal model predictive controller design for twin rotor MIMO system. In: 2015 9th International Conference on Electrical and Electronics Engineering (ELECO), pp. 854\u2013858 (2015). https:\/\/doi.org\/10.1109\/ELECO.2015.7394488","DOI":"10.1109\/ELECO.2015.7394488"},{"key":"45_CR16","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1007\/978-3-030-57802-2_39","volume-title":"15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)","author":"K Viana","year":"2021","unstructured":"Viana, K., Larrea, M., Irigoyen, E., Diez, M., Zubizarreta, A.: MIMO neural models for a twin-rotor platform: comparison between mathematical simulations and real experiments. In: Herrero, \u00c1., Cambra, C., Urda, D., Sedano, J., Quinti\u00e1n, H., Corchado, E. (eds.) SOCO 2020. AISC, vol. 1268, pp. 407\u2013417. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-57802-2_39"}],"container-title":["Lecture Notes in Networks and Systems","17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-18050-7_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T19:07:54Z","timestamp":1665515274000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-18050-7_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,12]]},"ISBN":["9783031180491","9783031180507"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-18050-7_45","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022,10,12]]},"assertion":[{"value":"12 October 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bilbao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socomoin2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2022.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}