{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T16:34:27Z","timestamp":1761323667826},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2010,2,21]],"date-time":"2010-02-21T00:00:00Z","timestamp":1266710400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2010,4]]},"DOI":"10.1007\/s10489-010-0211-x","type":"journal-article","created":{"date-parts":[[2010,2,19]],"date-time":"2010-02-19T18:18:27Z","timestamp":1266603507000},"page":"173-192","source":"Crossref","is-referenced-by-count":16,"title":["Suboptimal nonlinear predictive control based on multivariable neural Hammerstein models"],"prefix":"10.1007","volume":"32","author":[{"given":"Maciej","family":"\u0141awry\u0144czuk","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,2,21]]},"reference":[{"key":"211_CR1","doi-asserted-by":"crossref","first-page":"4302","DOI":"10.1021\/ie990629e","volume":"39","author":"J Abonyi","year":"2000","unstructured":"Abonyi J, Babu\u0161ka J, Ayala Botto M, Szeifert F, Nagy L (2000) Identification and control of nonlinear systems using fuzzy Hammerstein models. Ind Eng Chem Res 39:4302\u20134314","journal-title":"Ind Eng Chem Res"},{"key":"211_CR2","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1080\/00207729708929362","volume":"28","author":"H Al-Duwaish","year":"1997","unstructured":"Al-Duwaish H, Karim MN, Chandrasekar V (1997) Hammerstein model identification by multilayer feedforward neural networks. Int J Syst Sci 28:49\u201354","journal-title":"Int J Syst Sci"},{"key":"211_CR3","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/S0967-0661(98)00004-5","volume":"6","author":"M Aoubi","year":"1998","unstructured":"Aoubi M (1998) Comparison between the dynamic multi-layered perceptron and generalised Hammerstein model for experimental identification of the loading process in diesel engines. Control Eng Pract 6:271\u2013279","journal-title":"Control Eng Pract"},{"key":"211_CR4","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1016\/j.jprocont.2006.06.001","volume":"16","author":"BM \u00c5kesson","year":"2006","unstructured":"\u00c5kesson BM, Toivonen HT (2006) A\u00a0neural network model predictive controller. J\u00a0Process Control 16:937\u2013946","journal-title":"J\u00a0Process Control"},{"key":"211_CR5","volume-title":"Nonlinear programming: theory and algorithms","author":"MS Bazaraa","year":"1999","unstructured":"Bazaraa MS, Sherali J, Shetty K (1999) Nonlinear programming: theory and algorithms. Prentice Hall, New York"},{"key":"211_CR6","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0005-1098(82)90022-X","volume":"18","author":"SA Billings","year":"1982","unstructured":"Billings SA, Fakhouri SY (1982) Identification of systems containing linear dynamic and static nonlinear elements. Automatica 18:15\u201326","journal-title":"Automatica"},{"key":"211_CR7","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1021\/ie0609113","volume":"46","author":"KH Chan","year":"2007","unstructured":"Chan KH, Bao J (2007) Model predictive control of Hammerstein systems with multivariable nonlinearities. Ind Eng Chem Res 46:168\u2013180","journal-title":"Ind Eng Chem Res"},{"key":"211_CR8","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/TAC.1971.1099787","volume":"16","author":"FH Chang","year":"1971","unstructured":"Chang FH, Luus R (1971) A\u00a0noniterative method of identification using Hammerstein model. IEEE Trans Autom Control 16:464\u2013468","journal-title":"IEEE Trans Autom Control"},{"key":"211_CR9","first-page":"211","volume":"14","author":"J Chen","year":"2004","unstructured":"Chen J, Huang TC (2004) Applying neural networks to on-line updated PID controllers for nonlinear process control. J\u00a0Proc Control 14:211\u2013230","journal-title":"J\u00a0Proc Control"},{"key":"211_CR10","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1109\/TBME.2003.820384","volume":"51","author":"Dempsey Ej","year":"2004","unstructured":"Ej Dempsey, Westwick DT (2004) Identification of Hammerstein models with cubic spline nonlinearities. IEEE Trans Biomed Eng 51:237\u2013245","journal-title":"IEEE Trans Biomed Eng"},{"key":"211_CR11","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/S0967-0661(02)00106-5","volume":"11","author":"D Dougherty","year":"2003","unstructured":"Dougherty D, Cooper D (2003) A\u00a0practical multiple model adaptive strategy for single-loop MPC. Control Eng Pract 11:141\u2013159","journal-title":"Control Eng Pract"},{"key":"211_CR12","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1002\/aic.690370211","volume":"37","author":"E Eskinat","year":"1991","unstructured":"Eskinat E, Johnson S, Luyben WL (1991) Use of Hammerstein models in identification of nonlinear systems. AIChE J 37:255\u2013268","journal-title":"AIChE J"},{"key":"211_CR13","first-page":"31","volume":"7","author":"KP Fruzzetti","year":"1997","unstructured":"Fruzzetti KP, Palazo\u011flu A, McDonald KA (1997) Nonlinear model predictive control using Hammerstein models. J\u00a0Proc Control 7:31\u201341","journal-title":"J\u00a0Proc Control"},{"key":"211_CR14","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1016\/j.automatica.2005.02.002","volume":"41","author":"I Goethals","year":"2005","unstructured":"Goethals I, Pelckmans K, Suykens JAK, De Moor B (2005) Identification of MIMO Hammerstein models using least squares support vector machines. Automatica 41:1263\u20131272","journal-title":"Automatica"},{"key":"211_CR15","doi-asserted-by":"crossref","first-page":"2355","DOI":"10.1080\/00207728908910318","volume":"20","author":"W Greblicki","year":"1989","unstructured":"Greblicki W (1989) Non-parametric orthogonal series identification Hammerstein systems. Int J Syst Sci 20:2355\u20132367","journal-title":"Int J Syst Sci"},{"key":"211_CR16","doi-asserted-by":"crossref","first-page":"2681","DOI":"10.1021\/ie00012a009","volume":"31","author":"T Gustafsson","year":"1992","unstructured":"Gustafsson T, Waller K (1992) Nonlinear and adaptive control of pH. Ind Eng Chem Res 31:2681\u20132693","journal-title":"Ind Eng Chem Res"},{"key":"211_CR17","doi-asserted-by":"crossref","first-page":"1238","DOI":"10.1016\/j.conengprac.2006.10.016","volume":"15","author":"G Harnischmacher","year":"2007","unstructured":"Harnischmacher G, Marquardt W (2007) Nonlinear model predictive control of multivariable processes using block-structured models. Control Eng Pract 15:1238\u20131256","journal-title":"Control Eng Pract"},{"key":"211_CR18","volume-title":"Neural networks\u2014a comprehensive foundation","author":"S Haykin","year":"1999","unstructured":"Haykin S (1999) Neural networks\u2014a comprehensive foundation. Prentice Hall, Englewood Cliffs"},{"key":"211_CR19","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/S0098-1354(98)00260-9","volume":"23","author":"MA Henson","year":"1998","unstructured":"Henson MA (1998) Nonlinear model predictive control: current status and future directions. Comput Chem Eng 23:187\u2013202","journal-title":"Comput Chem Eng"},{"key":"211_CR20","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1109\/87.317975","volume":"2","author":"MA Henson","year":"1994","unstructured":"Henson MA, Seborg DE (1994) Adaptive nonlinear control of a pH neutralization process. IEEE Trans Control Syst Technol 2:169\u2013182","journal-title":"IEEE Trans Control Syst Technol"},{"key":"211_CR21","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","volume":"2","author":"K Hornik","year":"1989","unstructured":"Hornik K, Stinchcombe M, White H (1989) Multilayer feedforward networks are universal approximators. Neural Netw 2:359\u2013366","journal-title":"Neural Netw"},{"key":"211_CR22","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1016\/S0967-0661(00)00041-1","volume":"8","author":"Q Hu","year":"2000","unstructured":"Hu Q, Saha P, Rangaiah GP (2000) Experimental evaluation of an augmented IMC for nonlinear systems. Control Eng Pract 8:1167\u20131176","journal-title":"Control Eng Pract"},{"key":"211_CR23","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/S0954-1810(98)00011-9","volume":"13","author":"MA Hussain","year":"1999","unstructured":"Hussain MA (1999) Review of the applications of neural networks in chemical process control\u2014simulation and online implementation. Artif Intell Eng 13:55\u201368","journal-title":"Artif Intell Eng"},{"key":"211_CR24","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.1016\/j.conengprac.2004.12.007","volume":"13","author":"A Ingram","year":"2005","unstructured":"Ingram A, Matthew A, Franchek A, Balakrishnan V, Surnilla G (2005) Robust SISO H\u221e controller design for nonlinear systems. Control Eng Pract 13:1413\u20131423","journal-title":"Control Eng Pract"},{"key":"211_CR25","volume-title":"Identification of nonlinear systems using neural networks and polynomial models: block oriented approach","author":"A Janczak","year":"2004","unstructured":"Janczak A (2004) Identification of nonlinear systems using neural networks and polynomial models: block oriented approach. Springer, London"},{"key":"211_CR26","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/S0967-0661(02)00117-X","volume":"11","author":"T Knohl","year":"2003","unstructured":"Knohl T, Xu WM, Unbehauen H (2003) Indirect adaptive dual control for Hammerstein systems using ANN. Control Eng Pract 11:377\u2013385","journal-title":"Control Eng Pract"},{"key":"211_CR27","doi-asserted-by":"crossref","first-page":"3599","DOI":"10.1016\/0009-2509(95)00182-5","volume":"50","author":"S Lakshminarayanan","year":"1995","unstructured":"Lakshminarayanan S, Shah SL, Nandakumar K (1995) Identification of Hammerstein models using multivariate statistical tools. Chem Eng Sci 50:3599\u20133613","journal-title":"Chem Eng Sci"},{"key":"211_CR28","first-page":"793","volume":"8","author":"WM Ling","year":"1998","unstructured":"Ling WM, Rivera D (1998) Nonlinear black-box identification of distillation column models\u2014design variable selection for model performance enhancement. Int J Appl Math Comput Sci 8:793\u2013813","journal-title":"Int J Appl Math Comput Sci"},{"key":"211_CR29","doi-asserted-by":"crossref","first-page":"3579","DOI":"10.1021\/ie000193z","volume":"40","author":"AP Loh","year":"2004","unstructured":"Loh AP, De DS, Krishnaswamy PR (2004) pH and level controller for a pH neutralization process. Ind Eng Chem Res 40:3579\u20133584","journal-title":"Ind Eng Chem Res"},{"key":"211_CR30","doi-asserted-by":"crossref","first-page":"2730","DOI":"10.1021\/ie030311t","volume":"43","author":"Y Lu","year":"2004","unstructured":"Lu Y, Arkun Y, Palazo\u011flu A (2004) Real-time application of scheduling quasi-min-max model predictive control to a bench-scale neutralization reactor. Ind Eng Chem Res 43:2730\u20132735","journal-title":"Ind Eng Chem Res"},{"key":"211_CR31","doi-asserted-by":"crossref","unstructured":"\u0141awry\u0144czuk M (2008) Suboptimal nonlinear predictive control with MIMO neural Hammerstein models. In: Nguyen NT, Borzemski L, Grzech A, Ali M (eds) Proceedings of the 21th international conference on industrial, engineering & other applications of applied intelligent systems, IEA-AIE 2008, Wroc\u0142aw, Poland. New frontiers in applied artificial intelligence. Lecture notes in artificial intelligence, vol\u00a05027, pp\u00a0225\u2013234","DOI":"10.1007\/978-3-540-69052-8_24"},{"key":"211_CR32","doi-asserted-by":"crossref","first-page":"217","DOI":"10.2478\/v10006-007-0020-5","volume":"17","author":"M \u0141awry\u0144czuk","year":"2007","unstructured":"\u0141awry\u0144czuk M (2007) A\u00a0family of model predictive control algorithms with artificial neural networks. Int J Appl Math Comput Sci 17:217\u2013232","journal-title":"Int J Appl Math Comput Sci"},{"key":"211_CR33","doi-asserted-by":"crossref","unstructured":"\u0141awry\u0144czuk M, Marusak P, Tatjewski P (2007) Economic efficacy of multilayer constrained predictive control structures: an application to a MIMO neutralisation reactor. In: Proceedings of the 11th IFAC\/IFORS\/IMACS\/IFIP symposium on large scale systems: theory and applications, Gda\u0144sk, Poland, CD-ROM, paper no\u00a093","DOI":"10.3182\/20070723-3-PL-2917.00034"},{"key":"211_CR34","volume-title":"Predictive control with constraints","author":"JM Maciejowski","year":"2002","unstructured":"Maciejowski JM (2002) Predictive control with constraints. Prentice Hall, Harlow"},{"key":"211_CR35","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1016\/j.asoc.2009.02.013","volume":"9","author":"P Marusak","year":"2009","unstructured":"Marusak P (2009) Advantages of an easy to design fuzzy predictive algorithm in control systems of nonlinear chemical reactors. Appl Soft Comput 9:1111\u20131125","journal-title":"Appl Soft Comput"},{"key":"211_CR36","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1109\/TAC.1966.1098387","volume":"12","author":"KS Narendra","year":"1966","unstructured":"Narendra KS, Gallman PG (1966) An iterative method for the identification of the nonlinear systems using the Hammerstein model. IEEE Trans Autom Control 12:546\u2013550","journal-title":"IEEE Trans Autom Control"},{"key":"211_CR37","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1109\/9.704998","volume":"43","author":"D Ne\u0161i\u0107","year":"1998","unstructured":"Ne\u0161i\u0107 D, Mareels IMY (1998) Dead-beat control of a simple Hammerstein models. IEEE Trans Autom Control 43:1184\u20131188","journal-title":"IEEE Trans Autom Control"},{"key":"211_CR38","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 N\u00f8rgaard","year":"2000","unstructured":"N\u00f8rgaard M, Ravn O, Poulsen NK, Hansen LK (2000) Neural networks for modelling and control of dynamic systems. Springer, London"},{"key":"211_CR39","doi-asserted-by":"crossref","first-page":"1611","DOI":"10.1002\/aic.690440713","volume":"44","author":"RS Patwardhan","year":"1998","unstructured":"Patwardhan RS, Lakshminarayanan S, Shah SL (1998) Constrained nonlinear MPC using Hammerstein and Wiener models. AIChE J 44:1611\u20131622","journal-title":"AIChE J"},{"key":"211_CR40","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/37.845038","volume":"20","author":"S Piche","year":"2000","unstructured":"Piche S, Sayyar-Rodsari B, Johnson D, Gerules M (2000) Nonlinear model predictive control using neural networks. IEEE Control Syst Mag 20:56\u201362","journal-title":"IEEE Control Syst Mag"},{"key":"211_CR41","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1016\/S0967-0661(02)00186-7","volume":"11","author":"SJ Qin","year":"2003","unstructured":"Qin SJ, Badgwell TA (2003) A\u00a0survey of industrial model predictive control technology. Control Eng Pract 11:733\u2013764","journal-title":"Control Eng Pract"},{"key":"211_CR42","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511812651","volume-title":"Pattern recognition and neural networks","author":"BD Ripley","year":"1996","unstructured":"Ripley BD (1996) Pattern recognition and neural networks. Cambridge University Press, Cambridge"},{"key":"211_CR43","volume-title":"Model-based predictive control","author":"JA Rossiter","year":"2003","unstructured":"Rossiter JA (2003) Model-based predictive control. CRC Press, Boca Raton"},{"key":"211_CR44","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/0005-1098(90)90009-7","volume":"26","author":"R Scattolini","year":"1990","unstructured":"Scattolini R, Bittanti S (1990) On the choice of the horizon in long-range predictive control\u2014some simple criteria. Automatica 26:915\u2013917","journal-title":"Automatica"},{"key":"211_CR45","first-page":"551","volume":"17","author":"JG Smith","year":"2007","unstructured":"Smith JG, Kamat S, Madhavan KP (2007) Modeling of pH process using wavenet based Hammerstein model. J\u00a0Proc Control 17:551\u2013561","journal-title":"J\u00a0Proc Control"},{"key":"211_CR46","volume-title":"Advanced control of industrial processes, Structures and algorithms","author":"P Tatjewski","year":"2007","unstructured":"Tatjewski P (2007) Advanced control of industrial processes, Structures and algorithms. Springer, London"},{"key":"211_CR47","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1016\/S0967-0661(02)00258-7","volume":"11","author":"DL Yu","year":"2003","unstructured":"Yu DL, Gomm JB (2003) Implementation of neural network predictive control to a multivariable chemical reactor. Control Eng Pract 11:1315\u20131323","journal-title":"Control Eng Pract"},{"key":"211_CR48","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1016\/S0005-1098(97)00009-5","volume":"33","author":"J V\u00f6r\u00f6","year":"1997","unstructured":"V\u00f6r\u00f6 J (1997) Parameter identification of discontinuous Hammerstein systems. Automatica 33:1141\u20131146","journal-title":"Automatica"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-010-0211-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-010-0211-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-010-0211-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T14:25:44Z","timestamp":1559139944000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-010-0211-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,2,21]]},"references-count":48,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2010,4]]}},"alternative-id":["211"],"URL":"https:\/\/doi.org\/10.1007\/s10489-010-0211-x","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,2,21]]}}}