{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T02:32:26Z","timestamp":1769913146980,"version":"3.49.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2013,12,31]],"date-time":"2013-12-31T00:00:00Z","timestamp":1388448000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2014,9]]},"DOI":"10.1007\/s00521-013-1533-5","type":"journal-article","created":{"date-parts":[[2013,12,30]],"date-time":"2013-12-30T14:50:23Z","timestamp":1388415023000},"page":"693-701","source":"Crossref","is-referenced-by-count":16,"title":["State estimation in MIMO nonlinear systems subject to unknown deadzones using recurrent neural networks"],"prefix":"10.1007","volume":"25","author":[{"given":"J. Humberto","family":"P\u00e9rez-Cruz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 de Jes\u00fas","family":"Rubio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaime","family":"Pacheco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ezequiel","family":"Soriano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,12,31]]},"reference":[{"key":"1533_CR1","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1080\/00207177308932395","volume":"17","author":"FE Thau","year":"1973","unstructured":"Thau FE (1973) Observing the state of nonlinear dynamical systems. Int J Control 17:471\u2013479","journal-title":"Int J Control"},{"key":"1533_CR2","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1080\/00207179408923090","volume":"59","author":"S Raghavan","year":"1994","unstructured":"Raghavan S, Hedrick JK (1994) Observer design for a class of nonlinear systems. Int J Control 59:515\u2013528","journal-title":"Int J Control"},{"key":"1533_CR3","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1109\/9.661604","volume":"43","author":"R Rajamani","year":"1998","unstructured":"Rajamani R (1998) Observers for Lipschitz nonlinear systems. IEEE Trans Autom Control 43:397\u2013401","journal-title":"IEEE Trans Autom Control"},{"key":"1533_CR4","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1080\/002071798222640","volume":"69","author":"R Rajamani","year":"1998","unstructured":"Rajamani R, Cho YM (1998) Existence and design of observers for nonlinear systems: relation to distance of unobservability. Int J Control 69:717\u2013731","journal-title":"Int J Control"},{"key":"1533_CR5","doi-asserted-by":"crossref","unstructured":"Pertew A, Marquez HJ, and Zhao Q (2005) Dynamic observer for nonlinear Lipschitz systems. In: The proceedings of the 16th IFAC World Congress","DOI":"10.3182\/20050703-6-CZ-1902.00658"},{"key":"1533_CR6","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1109\/9.928609","volume":"46","author":"R Marino","year":"2001","unstructured":"Marino R, Santosuosso GL, Tomei P (2001) Robust adaptive observers for nonlinear systems with bounded disturbances. IEEE Trans Autom Control 46:967\u2013972","journal-title":"IEEE Trans Autom Control"},{"key":"1533_CR7","first-page":"28","volume":"1","author":"YU Choi","year":"2003","unstructured":"Choi YU, Shim H, Son YI, Seo JH (2003) Design of an adaptive observer for a class of nonlinear systems. Int J Control Autom Syst 1:28\u201334","journal-title":"Int J Control Autom Syst"},{"key":"1533_CR8","doi-asserted-by":"crossref","first-page":"1539","DOI":"10.1016\/S0005-1098(97)00065-4","volume":"33","author":"YH Kim","year":"1997","unstructured":"Kim YH, Lewis F, Abdallah CT (1997) A dynamic recurrent neural network based adaptive observer for a class of nonlinear systems. Automatica 33:1539\u20131543","journal-title":"Automatica"},{"key":"1533_CR9","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1002\/1099-1239(200006)10:7<535::AID-RNC492>3.0.CO;2-6","volume":"10","author":"Alexander S Poznyak","year":"2000","unstructured":"Poznyak Alexander S, Wen Yu (2000) Robust asymptotic neuro observer with time delay. Int J Robust Nonlinear Control 10:535\u2013560","journal-title":"Int J Robust Nonlinear Control"},{"key":"1533_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4471-0453-7","volume-title":"Neural networks for modelling and control of dynamic systems","author":"M Norgaard","year":"2000","unstructured":"Norgaard M, Ravn O, Poulsen NK, Hansen LK (2000) Neural networks for modelling and control of dynamic systems. Springer, Berlin"},{"key":"1533_CR11","volume-title":"Neural networks and learning machines","author":"S Haykin","year":"2009","unstructured":"Haykin S (2009) Neural networks and learning machines, 3rd edn. Prentice Hall, Upper Saddle River","edition":"3"},{"key":"1533_CR12","volume-title":"Dynamic neural networks for nonlinear control: identification, state estimation and trajectory tracking","author":"AS Poznyak","year":"2001","unstructured":"Poznyak AS, Sanchez EN, Yu W (2001) Dynamic neural networks for nonlinear control: identification, state estimation and trajectory tracking. World Scientific, Singapore"},{"key":"1533_CR13","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1016\/j.jprocont.2008.12.009","volume":"19","author":"I Chairez","year":"2009","unstructured":"Chairez I, Garc\u00eda-Pe\u00f1a I, Cabrera A (2009) Dynamic numerical reconstruction of a fungal biofiltration system using differential neural network. J Process Control 19:1103\u20131110","journal-title":"J Process Control"},{"key":"1533_CR14","unstructured":"Chairez I, Poznyak A, Poznyak T, (2004) Model free sliding mode neural observer for ozonation reaction. In: Proceedings of the 8th international workshop on variable structure systems, Villanova i la Geltru\u2032, Spain"},{"key":"1533_CR15","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TCSII.2006.883096","volume":"53","author":"I Chairez","year":"2006","unstructured":"Chairez I, Poznyak A, Poznyak T (2006) New sliding mode learning law for dynamic neural network observer. Trans IEEE Circ Syst II 53:1338\u20131342","journal-title":"Trans IEEE Circ Syst II"},{"key":"1533_CR16","doi-asserted-by":"crossref","first-page":"1437","DOI":"10.1049\/iet-cta.2008.0261","volume":"3","author":"I Chairez","year":"2009","unstructured":"Chairez I, Poznyak A, Poznyak T (2009) Stable weights dynamics for a class of differential neural network observer. IET Control Theory Appl 3:1437\u20131447","journal-title":"IET Control Theory Appl"},{"key":"1533_CR17","doi-asserted-by":"crossref","unstructured":"Magyar B, H\u0151s C, St\u00e9p\u00e1n G (2010) Influence of control valve delay and dead zone on the stability of a simple hydraulic positioning system. Math Probl Eng 2010:15, Article ID 349489","DOI":"10.1155\/2010\/349489"},{"key":"1533_CR18","author":"X Yuan","year":"2013","unstructured":"Yuan X, Yang Y, Wang H, Wang Y (2013) Genetic algorithm-based adaptive fuzzy sliding mode controller for electronic throttle valve. Neural Comput Appl. doi: 10.1007\/s00521-012-1327-1","journal-title":"Neural Comput Appl"},{"key":"1533_CR19","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10846-009-9342-x","volume":"58","author":"WM Bessa","year":"2010","unstructured":"Bessa WM, Dutra MS, Kreuzer E (2010) Sliding mode control with adaptive fuzzy dead-zone compensation of an electro-hydraulic servo-system. J Intell Rob Syst 58:3\u201316","journal-title":"J Intell Rob Syst"},{"key":"1533_CR20","doi-asserted-by":"crossref","unstructured":"Valdiero AC, Ritter CS, Rios CF, Rafikov M (2011) Nonlinear mathematical modeling in pneumatic servo position applications. Math Probl Eng 2011:16, Article ID 472903","DOI":"10.1155\/2011\/472903"},{"key":"1533_CR21","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s11071-012-0698-2","volume":"72","author":"L Liu","year":"2013","unstructured":"Liu L, Liu Y-J, Chen CLP (2013) Adaptive neural network control for a DC motor system with dead-zone. Nonlinear Dyn 72:141\u2013147","journal-title":"Nonlinear Dyn"},{"key":"1533_CR22","volume-title":"Adaptive control of systems with actuator and sensor nonlinearities","author":"G Tao","year":"1996","unstructured":"Tao G, Kokotovic PV (1996) Adaptive control of systems with actuator and sensor nonlinearities. Wiley, New York"},{"key":"1533_CR23","author":"L Liu","year":"2012","unstructured":"Liu L, Liu Y-J, Li D-J (2012) Intelligence computation based on adaptive tracking design for a class of non-linear discrete-time systems. Neural Comput Appl. doi: 10.1007\/s00521-012-1080-5","journal-title":"Neural Comput Appl"},{"key":"1533_CR24","author":"D-J Li","year":"2013","unstructured":"Li D-J, Tang L (2013) Adaptive control for a class of chemical reactor systems in discrete-time form. Neural Comput Appl. doi: 10.1007\/s00521-013-1420-0","journal-title":"Neural Comput Appl"},{"key":"1533_CR25","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s00521-009-0264-0","volume":"18","author":"C-Y Chang","year":"2009","unstructured":"Chang C-Y, Chiang T-C (2009) Overhead cranes fuzzy control design with deadzone compensation. Neural Comput Appl 18:749\u2013757","journal-title":"Neural Comput Appl"},{"key":"1533_CR26","doi-asserted-by":"crossref","unstructured":"Lewis FL, Campos J, Selmic R (2002) Neuro-fuzzy control of industrial systems with actuator nonlinearities, Siam, Philadelphia","DOI":"10.1137\/1.9780898717563"},{"key":"1533_CR27","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.automatica.2003.10.021","volume":"40","author":"XS Wang","year":"2004","unstructured":"Wang XS, Su CY, Hong H (2004) Robust adaptive control of a class of nonlinear systems with unknown dead zone. Automatica 40:407\u2013413","journal-title":"Automatica"},{"key":"1533_CR28","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1049\/iet-cta:20050240","volume":"1","author":"J Zhou","year":"2007","unstructured":"Zhou J, Shen XZ (2007) Robust adaptive control of nonlinear uncertain plants with unknown dead-zone. IET Control Theory Appl 1:25\u201332","journal-title":"IET Control Theory Appl"},{"key":"1533_CR29","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s00521-007-0124-8","volume":"17","author":"ZH Wang","year":"2008","unstructured":"Wang ZH, Zhang Y, Fang H (2008) Neural adaptive control for a class of nonlinear systems with unknown dead zone. Neural Comput Appl 17:339\u2013345","journal-title":"Neural Comput Appl"},{"key":"1533_CR30","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.isatra.2010.06.002","volume":"49","author":"YJ Liu","year":"2010","unstructured":"Liu YJ, Zhou N (2010) Observer-based adaptive fuzzy-neural control for a class of uncertain nonlinear systems with unknown dead-zone input. ISA Trans 49:462\u2013469","journal-title":"ISA Trans"},{"key":"1533_CR31","doi-asserted-by":"crossref","first-page":"2611","DOI":"10.1016\/j.watres.2005.04.061","volume":"39","author":"T Poznyak","year":"2005","unstructured":"Poznyak T, Chairez I, Poznyak A (2005) Application of a neural observer to phenols ozonation in water: simulation and kinetic parameters identification. Water Res 39:2611\u20132620","journal-title":"Water Res"},{"key":"1533_CR32","doi-asserted-by":"crossref","first-page":"5855","DOI":"10.1021\/ie0705103","volume":"46","author":"I Chairez","year":"2007","unstructured":"Chairez I, Poznyak A, Poznyak T (2007) Reconstruction of dynamics of aqueous phenols and their products formation in ozonation using differential neural network observer. Ind Eng Chem Res 46:5855\u20135866","journal-title":"Ind Eng Chem Res"},{"key":"1533_CR33","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1016\/j.jhazmat.2007.04.103","volume":"146","author":"T Poznyak","year":"2007","unstructured":"Poznyak T, Garc\u00eda A, Chairez I, G\u00f3mez M, Poznyak A (2007) Application of the differential neural network observer to the kinetic parameters identification of the anthracene degradation in contaminated model soil. J Hazard Mater 146:661\u2013667","journal-title":"J Hazard Mater"},{"key":"1533_CR34","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.cattod.2010.02.057","volume":"151","author":"I Chairez","year":"2010","unstructured":"Chairez I, Fuentes R, Poznyak T, Franco M, Poznyak A (2010) Numerical modeling of the benzene reaction with ozone in gas phase using differential neural networks. Catal Today 151:159\u2013165","journal-title":"Catal Today"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1533-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-013-1533-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-013-1533-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T16:55:25Z","timestamp":1565024125000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-013-1533-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,12,31]]},"references-count":34,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2014,9]]}},"alternative-id":["1533"],"URL":"https:\/\/doi.org\/10.1007\/s00521-013-1533-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,12,31]]}}}