{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T10:31:53Z","timestamp":1723372313404},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2014,10,26]],"date-time":"2014-10-26T00:00:00Z","timestamp":1414281600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1007\/s00521-014-1754-2","type":"journal-article","created":{"date-parts":[[2014,10,25]],"date-time":"2014-10-25T06:54:14Z","timestamp":1414220054000},"page":"723-734","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Black box modeling of PIDs implemented in PLCs without structural information: a support vector regression approach"],"prefix":"10.1007","volume":"26","author":[{"given":"Robert","family":"Salat","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michal","family":"Awtoniuk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,10,26]]},"reference":[{"issue":"1","key":"1754_CR1","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1109\/MCS.2006.1580153","volume":"26","author":"Y Li","year":"2006","unstructured":"Li Y, Ang KH, Chong GCY (2006) Patents, software, and hardware for PID control. an overview and analysis of the current art. IEEE Control Syst Mag 26(1):42\u201354","journal-title":"IEEE Control Syst Mag"},{"key":"1754_CR2","volume-title":"PID controllers: theory, design, and tuning","author":"KJ Astrom","year":"1995","unstructured":"Astrom KJ, Hagglund T (1995) PID controllers: theory, design, and tuning. Instrument Society of America, Research Triangle Park"},{"key":"1754_CR3","first-page":"124","volume-title":"Process control and optimization","author":"RR Rhinehart","year":"2006","unstructured":"Rhinehart RR, Shinskey FG, Wade HL (2006) Control modes\u2014PID variations. In: Liptak BG (ed) Process control and optimization, 4th edn. Taylor and Francis, Boca Raton, pp 124\u2013130","edition":"4"},{"key":"1754_CR4","doi-asserted-by":"crossref","DOI":"10.1515\/9781400828739","volume-title":"Feedback systems an introduction for scientists and engineers","author":"KJ Astrom","year":"2008","unstructured":"Astrom KJ, Murray RM (2008) Feedback systems an introduction for scientists and engineers. Princeton, Princeton"},{"key":"1754_CR5","volume-title":"Programmable controllers: theory and implementation","author":"LA Bryan","year":"1997","unstructured":"Bryan LA, Bryan EA (1997) Programmable controllers: theory and implementation. Industrial Text Company, Atlanta"},{"issue":"7","key":"1754_CR6","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.1134\/S0005117910070234","volume":"71","author":"VV Denisenko","year":"2010","unstructured":"Denisenko VV (2010) Modifications of PID regulators. Autom Remote Control 71(7):1465\u20131475","journal-title":"Autom Remote Control"},{"issue":"5","key":"1754_CR7","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/S0959-1524(00)00012-3","volume":"11","author":"KK Tan","year":"2001","unstructured":"Tan KK, Lee TH, Jiang X (2001) On-line identification, assessment and tuning of PID controller. J Process Control 11(5):483\u2013496","journal-title":"J Process Control"},{"key":"1754_CR8","doi-asserted-by":"crossref","DOI":"10.1142\/p575","volume-title":"Handbook of PI and PID controller tuning rules","author":"A O\u2019Dwyer","year":"2009","unstructured":"O\u2019Dwyer A (2009) Handbook of PI and PID controller tuning rules. Imperial College Press, London"},{"issue":"9","key":"1754_CR9","doi-asserted-by":"crossref","first-page":"1416","DOI":"10.1016\/j.compchemeng.2006.04.001","volume":"30","author":"W Tan","year":"2006","unstructured":"Tan W, Liu J, Chen T, Marquez HJ (2006) Comparison of some well-known PID tuning formulas. Comput Chem Eng 30(9):1416\u20131423","journal-title":"Comput Chem Eng"},{"key":"1754_CR10","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1177\/002029409002300402","volume":"23","author":"FG Shinskey","year":"1990","unstructured":"Shinskey FG (1990) How good are our controllers in absolute performance and robustness. Meas Control 23:114\u2013121","journal-title":"Meas Control"},{"issue":"5a","key":"1754_CR11","first-page":"227","volume":"88","author":"R Salat","year":"2012","unstructured":"Salat R, Awtoniuk M (2012) Dynamics mapping of the work of the PID controller implemented in the PLC by means of least squares-support vector machines. Przeglad Elektrotechniczny 88(5a):227\u2013230","journal-title":"Przeglad Elektrotechniczny"},{"issue":"12","key":"1754_CR12","doi-asserted-by":"crossref","first-page":"1691","DOI":"10.1016\/0005-1098(95)00120-8","volume":"31","author":"J Sj\u00f6berg","year":"1995","unstructured":"Sj\u00f6berg J, Zhang Q, Ljung L, Benveniste A, Delyon B, Glorennec P-Y, Hjalmarsson H, Juditsky A (1995) Non-linear black-box modeling in system identification: a unified overview. Automatica 31(12):1691\u20131724","journal-title":"Automatica"},{"key":"1754_CR13","unstructured":"Smola AB, Scholkopf B (1998) A tutorial on support vector regression. Neurocolt technical, rep. NV2-TR-1998-030, London"},{"issue":"5","key":"1754_CR14","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1002\/1099-1115(200008)14:5<519::AID-ACS611>3.0.CO;2-7","volume":"14","author":"B-M Pfeiffer","year":"2000","unstructured":"Pfeiffer B-M (2000) Towards \u2018plug and control\u2019: self-tuning temperature controller for PLC. Int J Adapt Control Signal Process 14(5):519\u2013532","journal-title":"Int J Adapt Control Signal Process"},{"key":"1754_CR15","unstructured":"http:\/\/support.ge-ip.com\/support\/resources\/sites\/GE_FANUC_SUPPORT\/content\/live\/DOCUMENT\/0\/DO54\/en_US\/gfk1503D.pdf"},{"key":"1754_CR16","unstructured":"http:\/\/literature.rockwellautomation.com\/idc\/groups\/literature\/documents\/rm\/1785-rm001_-en-p.pdf"},{"key":"1754_CR17","unstructured":"http:\/\/xtronics.com\/toshiba\/pid.pdf"},{"key":"1754_CR18","volume-title":"Theory of pattern recognition","author":"V Vapnik","year":"1974","unstructured":"Vapnik V, Chervonenkis A (1974) Theory of pattern recognition. Nauka, Mosco (in Russian)"},{"issue":"3","key":"1754_CR19","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JAK Suykens","year":"1999","unstructured":"Suykens JAK, Vandewalle J (1999) Least squares support vector machine classifiers. Neural Process Lett 9(3):293\u2013300","journal-title":"Neural Process Lett"},{"issue":"2","key":"1754_CR20","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.eswa.2006.12.019","volume":"34","author":"D Kim","year":"2008","unstructured":"Kim D, Lee H, Cho S (2008) Response modeling with support vector regression. Expert Syst Appl 34(2):1102\u20131108","journal-title":"Expert Syst Appl"},{"issue":"2","key":"1754_CR21","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.cmpb.2013.04.018","volume":"112","author":"R Salat","year":"2013","unstructured":"Salat R, Salat K (2013) The application of support vector regression for prediction of the antiallodynic effect of drug combinations in the mouse model of streptozocin-induced diabetic neuropathy. Comput Methods Programs Biomed 111(2):330\u2013337","journal-title":"Comput Methods Programs Biomed"},{"issue":"1","key":"1754_CR22","doi-asserted-by":"crossref","first-page":"21","DOI":"10.3233\/IFS-2010-0471","volume":"2","author":"R Salat","year":"2011","unstructured":"Salat R, Osowski S (2011) Support vector machine for soft fault location in electrical circuits. J Intell Fuzzy Syst 2(1):21\u201331","journal-title":"J Intell Fuzzy Syst"},{"issue":"2","key":"1754_CR23","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1109\/TPWRS.2004.825883","volume":"19","author":"R Salat","year":"2004","unstructured":"Salat R, Osowski S (2004) Accurate fault location in the power transmission line using support vector machine approach. IEEE Trans Power Syst 19(2):979\u2013986","journal-title":"IEEE Trans Power Syst"},{"issue":"5","key":"1754_CR24","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1016\/j.engappai.2012.03.018","volume":"25","author":"IB Tijani","year":"2012","unstructured":"Tijani IB, Rini Akmeliawati (2012) Support vector regression based friction modeling and compensation in motion control system. Eng Appl Artif Intell 25(5):1043\u20131052","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"1754_CR25","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s00521-010-0363-y","volume":"20","author":"RF Chevalier","year":"2011","unstructured":"Chevalier RF, Hoogenboom G, McClendon RW, Paz JA (2011) Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks. Neural Comput Appl 20(1):151\u2013159","journal-title":"Neural Comput Appl"},{"key":"1754_CR26","doi-asserted-by":"crossref","unstructured":"Huyck B, De Brabanter K, Logist F, De Brabanter J, Van Impe J, De Moor B (2011) Identification of a pilot scale distillation column: a kernel based approach. In: 18th IFAC world congress (IFAC2011), Milano, Italy","DOI":"10.3182\/20110828-6-IT-1002.01512"},{"key":"1754_CR27","volume-title":"Statistical learning theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik V (1998) Statistical learning theory. Wiley, New York"},{"key":"1754_CR28","first-page":"185","volume-title":"Advanced in kernel methods\u2014support vector machines","author":"JC Platt","year":"1998","unstructured":"Platt JC (1998) Fast training of support vector machines using sequential minimal optimization. In: Scholkopf B, Burges CJC, Smola AJ (eds) Advanced in kernel methods\u2014support vector machines. MIT Press, Cambridge, pp 185\u2013208"},{"key":"1754_CR29","unstructured":"Plutowski M (1994) Selecting training exemplars for neural networks learning. Dissertation, University of California"},{"issue":"2","key":"1754_CR30","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.automatica.2007.06.010","volume":"44","author":"I Lind","year":"2008","unstructured":"Lind I, Ljung L (2008) Regressor and structure selection in NARX models using a structured ANOVA approach. Automatica 44(2):383\u2013395","journal-title":"Automatica"},{"issue":"7","key":"1754_CR31","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1049\/iet-cta.2009.0217","volume":"4","author":"M Bonin","year":"2012","unstructured":"Bonin M, Seghezza V, Piroddi L (2012) NARX model selection based on simulation error minimisation and LASSO. IET Control Theory Appl 4(7):1157\u20131168","journal-title":"IET Control Theory Appl"},{"issue":"1","key":"1754_CR32","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1088\/0964-1726\/1\/1\/007","volume":"1","author":"SF Masri","year":"1992","unstructured":"Masri SF, Chassiakos AG, Caughey TK (1992) Structure-unknown non-linear dynamic systems: identification through neural networks. Smart Mater Struct 1(1):45\u201356","journal-title":"Smart Mater Struct"},{"issue":"3","key":"1754_CR33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2(3):1\u201327","journal-title":"ACM Trans Intell Syst Technol"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1754-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-014-1754-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1754-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,26]],"date-time":"2020-08-26T04:10:00Z","timestamp":1598415000000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-014-1754-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,26]]},"references-count":33,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,4]]}},"alternative-id":["1754"],"URL":"https:\/\/doi.org\/10.1007\/s00521-014-1754-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,10,26]]}}}