{"id":1227,"date":"2020-10-19T11:26:16","date_gmt":"2020-10-19T09:26:16","guid":{"rendered":"http:\/\/www.netscientificjournals.com\/smart-platform\/?post_type=call_for_papers&p=1227"},"modified":"2021-01-06T11:08:58","modified_gmt":"2021-01-06T10:08:58","slug":"dynamic-modelling-for-process-control-and-optimisation","status":"publish","type":"call_for_papers","link":"https:\/\/www.netscientificjournals.com\/smart-platform\/?call_for_papers=dynamic-modelling-for-process-control-and-optimisation","title":{"rendered":"Dynamic Modelling for Process Control and Optimisation"},"content":{"rendered":"

The use of Model Predictive Control (MPC) in mineral processing has advanced significantly over the past decade. In any MPC system, dynamic models play a crucial role in the performance of MPC systems. Dynamic models which simulate the behaviour of processing units over time cover a wide range, from simple response surfaces to sophisticated semi-fundamental models which take into account subprocesses which influence the response of the process. One of the critical challenges in developing dynamic models for mineral processing units is to collect experimental and industrial data for validation and verification of the dynamic models. Therefore, current research activities should attempt not only to\u00a0 develop models but also to develop techniques and tools for small-scale experiments to generate data for model development and verification. Furthermore, methods for collecting industrial data for full-scale validation of dynamic models is essential.\u00a0This Special Issue of\u00a0CivilEng\u00a0journal aims to gather the most recent research and developments in dynamic modelling for process control in the minerals industry. We would like to invite all researchers and experts who work in this field to submit your papers. The target in this Special Issue is fundamental research on model development, application of dynamic models, and case studies which highlight the role of dynamic models in process control.
\nKeywords:\u00a0dynamic models;\u00a0<\/span>process control;\u00a0<\/span>modelling and simulation;\u00a0<\/span>mineral processing.<\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"template":"","format":"standard","topic":[613,428,558,130,576,597,625,458,468,615,469,128,563,132,473,474,616,480,604,488,496,501,507],"country":[55],"nsj_language":[57],"class_list":["post-1227","call_for_papers","type-call_for_papers","status-publish","format-standard","hentry","topic-advanced-materials","topic-artificial-materials","topic-bioengineering","topic-chemical-material-sciences-en","topic-data-management","topic-data-sensing-and-analysis","topic-dynamic-models","topic-green-materials","topic-innovative-materials","topic-innovative-technologies","topic-interdisciplinarity-approach","topic-materials-engineering","topic-modeling","topic-nanotechnology","topic-natural-materials","topic-nature-based-solutions","topic-performance-evaluation","topic-process-innovation","topic-process-modeling-and-simulation","topic-recycled-materials","topic-sdgs-2030","topic-smart-materials","topic-sustainable-materials","country-switzerland","nsj_language-english"],"acf":[],"yoast_head":"\nDynamic Modelling for Process Control and Optimisation - NetScientficJournals.com - Science Magazines, Events and More<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.netscientificjournals.com\/smart-platform\/?call_for_papers=dynamic-modelling-for-process-control-and-optimisation\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:type\" content=\"article\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:title\" content=\"Dynamic Modelling for Process Control and Optimisation - NetScientficJournals.com - Science Magazines, Events and More\" class=\"yoast-seo-meta-tag\" \/>\n<meta property=\"og:description\" content=\"The use of Model Predictive Control (MPC) in mineral processing has advanced significantly over the past decade. 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