{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T04:38:36Z","timestamp":1725597516837},"reference-count":14,"publisher":"Elsevier","isbn-type":[{"type":"print","value":"9780123744074"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1016\/b978-0-12-374407-4.00413-1","type":"book-chapter","created":{"date-parts":[[2011,7,23]],"date-time":"2011-07-23T07:41:38Z","timestamp":1311406898000},"page":"242-251","source":"Crossref","is-referenced-by-count":0,"title":["Plant and Equipment | Instrumentation and Process Control: Process Control"],"prefix":"10.1016","author":[{"given":"P.","family":"Georgieva","sequence":"first","affiliation":[]}],"member":"78","reference":[{"year":"2001","series-title":"Data Mining for Design and Manufacturing: Methods and Applications (Massive Computing)","author":"Braha","key":"10.1016\/B978-0-12-374407-4.00413-1_b0005"},{"year":"2001","series-title":"Advanced Control Engineering","author":"Burns","key":"10.1016\/B978-0-12-374407-4.00413-1_b0010"},{"year":"2004","series-title":"Model Predictive Control in the Process Industry","author":"Camacho","key":"10.1016\/B978-0-12-374407-4.00413-1_b0015"},{"year":"1999","series-title":"Neural Networks: A Comprehensive Foundation","author":"Haykin","key":"10.1016\/B978-0-12-374407-4.00413-1_b0020"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0025","doi-asserted-by":"crossref","first-page":"1776","DOI":"10.1002\/aic.690490715","article-title":"Robust nonlinear model predictive control of batch processes","volume":"49","author":"Nagy","year":"2003","journal-title":"AIChE Journal"},{"year":"2000","series-title":"Neural Networks for Modelling and Control of Dynamic Systems","author":"Norgaard","key":"10.1016\/B978-0-12-374407-4.00413-1_b0030"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0035","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.jcrysgro.2007.04.016","article-title":"Dynamical model of brushite precipitation","volume":"305","author":"Oliveira","year":"2007","journal-title":"Journal of Crystal Growth"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0040","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/s00521-008-0200-8","article-title":"Artificial neural networks for modeling in reaction process systems","volume":"18","author":"Oliveira","year":"2008","journal-title":"Neural Computing & Applications"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0045","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S0260-8774(01)00223-0","article-title":"Hybrid model of the fouling process in tubular heat exchangers for the dairy industry","volume":"55","author":"Petermeier","year":"2002","journal-title":"Journal of Food Engineering"},{"year":"2003","series-title":"Model Based Predictive Control. A Practical Approach","author":"Rossiter","key":"10.1016\/B978-0-12-374407-4.00413-1_b0050"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0055","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1016\/j.compchemeng.2005.02.013","article-title":"online monitoring of a sugar crystallization process","volume":"29","author":"Simoglou","year":"2005","journal-title":"Computers & Chemical Engineering"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0060","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1016\/S0098-1354(02)00012-1","article-title":"Statistical performance monitoring of dynamic multivariate processes using state space modelling","volume":"26","author":"Simoglou","year":"2002","journal-title":"Computers & Chemical Engineering"},{"key":"10.1016\/B978-0-12-374407-4.00413-1_b0065","unstructured":"Su\u00e1rez LAP, Georgieva P, and Feyo de Azevedo S (2009) Computationally efficient process control with neural network-based predictive models. International Joint Conference on Neural Networks (IJCNN), Atlanta, GA, USA, 14\u2013 9 June."},{"year":"1999","series-title":"Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)","author":"Wang","key":"10.1016\/B978-0-12-374407-4.00413-1_b0070"}],"container-title":["Encyclopedia of Dairy Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780123744074004131?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780123744074004131?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T11:54:39Z","timestamp":1543665279000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780123744074004131"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9780123744074"],"references-count":14,"URL":"https:\/\/doi.org\/10.1016\/b978-0-12-374407-4.00413-1","relation":{},"subject":[],"published":{"date-parts":[[2011]]}}}