{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T15:40:44Z","timestamp":1726069244095},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030354442"},{"type":"electronic","value":"9783030354459"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-35445-9_28","type":"book-chapter","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T12:04:08Z","timestamp":1582805048000},"page":"373-389","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Neural Evolutionary Predictive Control for Linear Induction Motors with Experimental Data"],"prefix":"10.1007","author":[{"given":"Alma Y.","family":"Alanis","sequence":"first","affiliation":[]},{"given":"Nancy","family":"Arana-Daniel","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"Lopez-Franco","sequence":"additional","affiliation":[]},{"given":"Jorge D.","family":"Rios","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,28]]},"reference":[{"unstructured":"Bemporad, A., Morari, M.: Robust model predictive control: a survey. In: Garulli, A., Tesi, A. (eds.) Robustness in Identification and Control. Lecture Notes in Control and Information Sciences, vol. 245. Springer, London (1999)","key":"28_CR1"},{"key":"28_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-0348-8407-5","volume-title":"Nonlinear Model Predictive Control","author":"F Allgower","year":"2000","unstructured":"Allgower, F., Zheng, A.: Nonlinear Model Predictive Control. Springer, Berlin (2000)"},{"doi-asserted-by":"publisher","unstructured":"Chairez, I., Garc\u00eda, A., Poznyak, A., Poznyak, T.: Model predictive control by differential neural networks approach. In: The 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, pp. 1\u20138. https:\/\/doi.org\/10.1109\/ijcnn.2010.5596521 . (2010)","key":"28_CR3","DOI":"10.1109\/ijcnn.2010.5596521"},{"doi-asserted-by":"crossref","unstructured":"Wu,W., Cbang, J.-X.: Neural predictive control design for uncertain nonlinear systems. In: Proceedings of the IFAC Dynamics and Control of Process Systems, Cambridge, Massachusetts, USA (2004)","key":"28_CR4","DOI":"10.1016\/S1474-6670(17)31884-0"},{"issue":"3","key":"28_CR5","doi-asserted-by":"publisher","first-page":"540","DOI":"10.15837\/ijccc.2012.3.1394","volume":"7","author":"V Rankovic","year":"2012","unstructured":"Rankovic, V., Radulovic, J., Grujovic, N., Divac, D.: Neural network model predictive control of nonlinear systems using genetic algorithms. Int. J. Comput. Commun. Control 7(3), 540\u2013549 (2012)","journal-title":"Int. J. Comput. Commun. Control"},{"key":"28_CR6","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1016\/j.jprocont.2006.06.001","volume":"16","author":"BM Akesson","year":"2006","unstructured":"Akesson, B.M., Toivonen, H.T.: A neural network model predictive controller. J. Process Control 16, 937\u2013946 (2006)","journal-title":"J. Process Control"},{"doi-asserted-by":"crossref","unstructured":"Pan, Y., Wang, J.: Robust model predictive control using a discrete-time recurrent neural network. In: Sun, F. et al. (eds.) Part I, LNCS 5263, pp. 883\u2013892, Springer (2008)","key":"28_CR7","DOI":"10.1007\/978-3-540-87732-5_97"},{"issue":"9","key":"28_CR8","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1109\/TNN.2008.2000446","volume":"19","author":"SS Ge","year":"2008","unstructured":"Ge, S.S., Yang, C., Lee, T.H.: Adaptive predictive control using neural network for a class of pure-feedback systems in discrete time. IEEE Trans. Neural Netw. 19(9), 1599\u20131614 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"28_CR9","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1109\/TNNLS.2013.2275948","volume":"25","author":"Z Yan","year":"2014","unstructured":"Yan, Z., Wang, J.: Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks. IEEE Trans. Neural Netw. Learn. Syst. 25(3), 457\u2013469 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"doi-asserted-by":"crossref","unstructured":"Georgieva, P., Feyo de Azevedo, S.: Neural networks for model predictive control. In: Proceedings of the 2011 International Joint Conference on Conference: Neural Networks (IJCNN), San Jose California, USA (2011)","key":"28_CR10","DOI":"10.1109\/IJCNN.2011.6033208"},{"unstructured":"Hedjar, R.: Adaptive neural network model predictive control. Int. J. Innov. Comput. Inf. Control. 9(3) (2013)","key":"28_CR11"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., Xiao, J.: PSO-Based Model Predictive Control for Nonlinear Processes. In: Wang, L., Chen, K., Ong, Y.S. (eds.) ICNC 2005, LNCS 3611, pp. 196\u2013203, Springer (2005)","key":"28_CR12","DOI":"10.1007\/11539117_30"},{"issue":"3","key":"28_CR13","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1109\/TNN.2010.2103322","volume":"22","author":"AY Alanis","year":"2011","unstructured":"Alanis, A.Y., Sanchez, E.N., Loukianov, A.G.: Real-time recurrent neural state estimation. IEEE Trans. Neural Netw. 22(3), 497\u2013505 (2011)","journal-title":"IEEE Trans. Neural Netw."},{"key":"28_CR14","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1016\/j.neucom.2015.02.065","volume":"164","author":"AY Alanis","year":"2015","unstructured":"Alanis, A.Y., Rios, J.D., Rivera, J., Arana-Daniel, N., Lopez-Franco, C.: Real-time discrete neural control applied to a linear induction motor. Neurocomputing 164, 240\u2013251 (2015)","journal-title":"Neurocomputing"},{"key":"28_CR15","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.jfranklin.2017.11.014","volume":"355","author":"JD Rios","year":"2018","unstructured":"Rios, J.D., Alanis, A.Y., Lopez-Franco, C., Arana-Daniel, N.: RHONN identifier-control scheme for nonlinear discrete-time systems with unknown time-delays. J. Franklin Inst. 355, 218\u2013249 (2018)","journal-title":"J. Franklin Inst."},{"unstructured":"Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In Proceedings of the IEEE International Joint Conference on Neural Networks, pp. 1942\u20131948 (1995)","key":"28_CR16"},{"key":"28_CR17","doi-asserted-by":"publisher","DOI":"10.1201\/b18469","volume-title":"Optimization: Algorithms and Applications","author":"RK Arora","year":"2015","unstructured":"Arora, R.K.: Optimization: Algorithms and Applications. Chapman and Hall\/CRC Press, UK (2015)"},{"issue":"5","key":"28_CR18","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1109\/TIA.2008.2002171","volume":"44","author":"TK Das","year":"2008","unstructured":"Das, T.K., Venayagamoorthy, G.K.: Bio-inspired algorithms for the design of multiple optimal power system stabilizers: SPPSO and BFA. IEEE Trans. Ind. Appl. 44(5), 1445\u20131457 (2008)","journal-title":"IEEE Trans. Ind. Appl."},{"key":"28_CR19","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511529641","volume-title":"Linear Electric Actuators and Generators","author":"I Boldea","year":"1997","unstructured":"Boldea, I., Nasar, S.A.: Linear Electric Actuators and Generators. Cambridge University Press, Cambridge, England (1997)"},{"key":"28_CR20","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198593812.001.0001","volume-title":"Linear Inductions Drives","author":"JF Gieras","year":"1994","unstructured":"Gieras, J.F.: Linear Inductions Drives. Oxford University Press, Oxford, England (1994)"},{"key":"28_CR21","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1109\/28.195902","volume":"29","author":"I Takahashi","year":"1993","unstructured":"Takahashi, I., Ide, Y.: Decoupling control of thrust and attractive force of a LIM using a space vector control inverter. IEEE Trans. Ind. Appl. 29, 161\u2013167 (1993)","journal-title":"IEEE Trans. Ind. Appl."},{"doi-asserted-by":"crossref","unstructured":"Loukianov, A.G., Rivera, J., Ca\u00f1edo, J.M.: Discrete time sliding mode control of an induction motor. In: Proceedings IFAC\u201902, Barcelone, Spain (2002)","key":"28_CR22","DOI":"10.3182\/20020721-6-ES-1901.01074"},{"issue":"1","key":"28_CR23","first-page":"33","volume":"16","author":"VH Benitez","year":"2005","unstructured":"Benitez, V.H., Sanchez, E.N., Loukianov, A.G.: Neural identification and control for linear induction motors. J. Intel. Fuzzy Syst. 16(1), 33\u201355 (2005)","journal-title":"J. Intel. Fuzzy Syst."},{"key":"28_CR24","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/S0098-1354(99)00007-1","volume":"23","author":"N Kazantzis","year":"1999","unstructured":"Kazantzis, N., Kravaris, C.: Time-discretization of nonlinear control systems via Taylor methods. Comput. Chem. Eng. 23, 763\u2013784 (1999)","journal-title":"Comput. Chem. Eng."},{"key":"28_CR25","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.jhydrol.2013.05.038","volume":"497","author":"P-A Chen","year":"2013","unstructured":"Chen, P.-A., Chang, L.-C., Chang, F.-J.: Reinforced recurrent neural networks for multi-step-ahead flood forecasts. J. Hydrol. 497, 71\u201379 (2013). https:\/\/doi.org\/10.1016\/j.jhydrol.2013.05.038","journal-title":"J. Hydrol."},{"issue":"12","key":"28_CR26","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.3390\/rs9121305","volume":"9","author":"J Chi","year":"2017","unstructured":"Chi, J., Kim, H.-C.: Prediction of arctic sea ice concentration using a fully data driven deep neural network. Remote Sens. 9(12), 1305 (2017). https:\/\/doi.org\/10.3390\/rs9121305","journal-title":"Remote Sens."}],"container-title":["Studies in Computational Intelligence","Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-35445-9_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T05:51:18Z","timestamp":1722491478000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-35445-9_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030354442","9783030354459"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-35445-9_28","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"28 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}