{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T11:33:30Z","timestamp":1714649610919},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2010,7,18]],"date-time":"2010-07-18T00:00:00Z","timestamp":1279411200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2010,9]]},"DOI":"10.1007\/s00521-010-0419-z","type":"journal-article","created":{"date-parts":[[2010,7,16]],"date-time":"2010-07-16T22:14:46Z","timestamp":1279318486000},"page":"919-933","source":"Crossref","is-referenced-by-count":16,"title":["Online linearization-based neural predictive control of air\u2013fuel ratio in SI engines with PID feedback correction scheme"],"prefix":"10.1007","volume":"19","author":[{"given":"Samir","family":"Saraswati","sequence":"first","affiliation":[]},{"given":"Satish","family":"Chand","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,7,18]]},"reference":[{"key":"419_CR1","doi-asserted-by":"crossref","unstructured":"Alippi C, Russis C, Piuri V (2003) A neural-network based control solution to air\u2013fuel ratio control for automotive fuel-injection systems. IEEE Trans Syst Man Cyber-Part C: Appl Rev 33:259\u2013268","DOI":"10.1109\/TSMCC.2003.814035"},{"key":"419_CR2","doi-asserted-by":"crossref","unstructured":"Shiraishi H, Ipri LS, Cho D (1995) CMAC neural network controller for fuel injection systems. IEEE Trans Control Syst Technol 3:32\u201338","DOI":"10.1109\/87.370707"},{"key":"419_CR3","doi-asserted-by":"crossref","unstructured":"Manzie C, Palaniswami M, Ralph D, Watson H, Xiao Y (2002) Model predictive control of a fuel injection system using a radial basis function observer. ASME J Dyn Syst Meas Control 124:648\u2013658","DOI":"10.1115\/1.1515328"},{"key":"419_CR4","doi-asserted-by":"crossref","unstructured":"Wang SW, Yu DL, Gomm JB, Page GF, Douglas SS (2006) Adaptive neural network model based predictive control for air-fuel ratio of SI engines. Eng Appl Artif Intell 19:189\u2013200","DOI":"10.1016\/j.engappai.2005.08.005"},{"key":"419_CR5","doi-asserted-by":"crossref","unstructured":"Hendricks E, Sorenson SC (1990) Mean value modelling of spark ignition engines. SAE technical paper no. 900616","DOI":"10.4271\/900616"},{"key":"419_CR6","doi-asserted-by":"crossref","unstructured":"Chevalier A, Muller M, Hendricks E (2000) On the validity of mean value engine models during transient operations. SAE technical paper no. 2000-01-1261","DOI":"10.4271\/2000-01-1261"},{"key":"419_CR7","unstructured":"Hendricks E, Engler D, Fam M (2000) A generic mean value engine model for spark ignition engines. In: 41st simulation conference, SIMS 2000, DTU, Lyngby, Denmark"},{"key":"419_CR8","doi-asserted-by":"crossref","unstructured":"Hendricks E (2001) Isothermal versus adiabatic mean value si engine models. In: 3rd IFAC workshop on advances in automotive control. Karlsruhe Germany","DOI":"10.1016\/S1474-6670(17)34424-5"},{"key":"419_CR9","unstructured":"Hendricks E, Chevalier A, Jensen M, Sorenson SC, Trumpy D, Asik J (1996) Modelling of the intake manifold filling dynamics, SAE technical paper no. 960037"},{"key":"419_CR10","unstructured":"Hendricks E, Vesterholm T (1992) The analysis of mean value SI engine models, SAE technical paper no. 920682"},{"key":"419_CR11","unstructured":"Hendricks E, Jensen M, Kaidantzis P, Rasmussen P, Vesterholm T (1993) Transient A\/F ratio errors in conventional SI engine controllers, SAE technical paper no. 930856, in Special Publication SP-955"},{"key":"419_CR12","unstructured":"Chevalier A, Vigild C, Hendricks E (2000) Predicting the port air mass flow of SI engines in air\/fuel ratio control applications, SAE technical paper no. 2000-01-0260"},{"key":"419_CR13","unstructured":"Berggren P, Perkovic A (1996) Cylinder individual lambda feedback control in an SI engine, Master\u2019s Thesis. Linkopings University"},{"key":"419_CR14","doi-asserted-by":"crossref","unstructured":"N\u00f8rgaard M, Ravn O, Poulsen NL, Hansen LK (2000) Neural networks for modelling and control of dynamic systems, Springer, ISBN 1-85233-227-1","DOI":"10.1007\/978-1-4471-0453-7_1"},{"key":"419_CR15","doi-asserted-by":"crossref","unstructured":"Lawrynczuk (2007) A family of model predictive control algorithms with artificial neural networks. Int J Appl Math Comput Sci 17(2):217\u2013232","DOI":"10.2478\/v10006-007-0020-5"},{"key":"419_CR16","unstructured":"Hassibi B, Stork DG, Wolff GJ (1993) Optimal brain surgeon and general network pruning. In: proceedings, international conference neural networks"},{"key":"419_CR17","doi-asserted-by":"crossref","unstructured":"Arsie I, Pianese C, Sorrentino M (2006) A procedure to enhance identification of recurrent neural networks for simulating air\u2013fuel ratio dynamics in SI engines. Eng Appl Artif Intell 19:65\u201377","DOI":"10.1016\/j.engappai.2005.06.003"},{"key":"419_CR18","unstructured":"Cutler R, Ramaker B (1980) Dynamic matrix control-a computer control algorithm. In: proceeding joint automatic control conference, San Francisco"},{"key":"419_CR19","unstructured":"Clarke DW, Mohtadi C, Tuffs PS (1987) Generalized predictive control-I. The basic algorithm. Automatica 23(2):137\u2013148"},{"key":"419_CR20","unstructured":"Rao SS (2005) Engineering optimization. New Age International Publishers, ISBN: 81-224-1149-5"},{"key":"419_CR21","unstructured":"Gill PE, Murray W, Wright MH (1981) Practical optimization. Academic Press, ISBN 0-12-283952-8"},{"key":"419_CR22","unstructured":"Ogata K (2006) Modern control engineering. Prentice Hall India, ISBN 81-203-2045-X"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-010-0419-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-010-0419-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-010-0419-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T01:45:04Z","timestamp":1559267104000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-010-0419-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,7,18]]},"references-count":22,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2010,9]]}},"alternative-id":["419"],"URL":"https:\/\/doi.org\/10.1007\/s00521-010-0419-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,7,18]]}}}