[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-290195-105":3,"doc-detail-290195-en":81,"detail-sidebar-cat-0-en-105":98},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","multibody-dynamics-and-control-using-machine-learning","Multibody Dynamics and Control using Machine Learning","","Artificial intelligence and mechanical engineering increasingly intersect, and this review connects multibody system dynamics with machine learning to unlock new capabilities. Multibody methods can generate synthetic data, while machine learning yields fast, accurate subsystem models. Together they enable surrogate and hybrid modeling, advanced control, estimation, and optimal design. The survey emphasizes neural networks—especially deep learning—covering over 150 papers and organizing results into data-driven modeling, model-based control and estimation, and data-driven control.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/multibody-dynamics-and-control-using-machine-learning/290195/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/multibody-dynamics-and-control-using-machine-learning/290195.png","ImageObject",300,407,{"name":42,"@type":43},"Patrick","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-18","2026-09-17",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",11,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"How does multibody system dynamics support machine learning in this survey?","Question",{"text":63,"@type":64},"Multibody methods can provide synthetic data and help build subsystem representations that machine learning can use for learning and prediction.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What are the three main research areas identified in the review?",{"text":68,"@type":64},"The review groups work into data-driven modeling, model-based control and estimation, and data-driven control.",{"name":70,"@type":61,"acceptedAnswer":71},"What type of neural networks does the review focus on?",{"text":72,"@type":64},"It focuses mainly on neural networks, with particular emphasis on deep learning techniques applied to multibody system methods.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},290195,1789640914,{"code":4,"msg":82,"data":83},"success",{"doc_id":79,"user_id":84,"nickname":42,"user_avatar":85,"doc_module":4,"category_id":86,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":87,"file_id":88,"file_url":89,"file_type":90,"file_size":91,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":92,"language":93,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":94,"faqs":95,"seo_title":96,"seo_description":12,"update_tm":80,"read_time":97,"preview_page_count":4},549758146520,"https://ap-avatar.wpscdn.com/avatar/80002397d8c0411e94?_k=1775819394049821470",8,"Multibody Dynamics and Control using Machine Learning  \nHashemi Arash, Orzechowski Grzegorz, Mikkola Aki, McPhee John  \nThis is a Author's accepted manuscript (AAM) version of a publication published by Springer Nature  \nin Multibody System Dynamics  \nDOI: 10. 1007/s11044-023-09884-x  \nCopyright of the original publication:  \n© 2023 Springer Nature  \nPlease cite the publication as follows:  \nHashemi, A. , Orzechowski, G. , Mikkola, A. et al. Multibody dynamics and control using machine learning. Multibody Syst Dyn (2023) . [https://doi.org/10.1007/s11044-023-09884-x](https://doi.org/10.1007/s11044-023-09884-x)  \nThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: [http://dx.doi.org/10.1007/s11044-023-09884-x](http://dx.doi.org/10.1007/s11044-023-09884-x)  \nThis is a parallel published version of an original publication. This version can differ from the original published article.  \nMultibody System Dynamics manuscript No.  \n(will be inserted by the editor)  \nMultibody Dynamics and Control using Machine Learning  \nArash Hashemi 􀀁 Grzegorz Orzechowski 􀀁  \nAki Mikkola 􀀁 John McPhee  \nReceived: date / Accepted: date  \nAbstract Arti􀀌cial intelligence and mechanical engineering are two mature 􀀌elds of science that intersect more and more often. Computer-aided mechanical analysis tools, often multibody system software, are very versatile and have revolutionalized many industries. However, as shown by the literature presented in this review, combining the advantages of multibody system dynamicsand machine learning creates new and exciting possibilities. For example, the multibody method can assist machine learning by providing synthetic data, while machine learning can provide fast and accurate subsystem models. The intersection of both approaches results in surrogate and hybrid modeling techniques, advanced control algorithms, and optimal design applications. A notable example is the development of autonomous systems for vehicles, robots, and mobile machinery. In our review we have found nontrivial, innovative, and even surprising applications of machine learning and multibody dynamics. This review focuses on applying neural networks, mainly deep learning, in connection with the multibody system method. Over one hundred and 􀀌fty papers are covered, and three main research areas are identi􀀌ed and introduced: data-driven modeling, model-based control and estimation, and data-driven control. The paper starts with a primer on machine learning and concludes with future research directions. The main goal is to provide a comprehensive and up-to-date review of existing literature to inspire further research.  \nKeywords Machine learning 􀀁 Multibody system 􀀁 Deep learning 􀀁 Datadriven modeling 􀀁 Model-based control 􀀁 Data-driven control  \nArash Hashemi  \nUniversity of Waterloo, Canada Grzegorz Orzechowski  \nLUT University, Finland Aki Mikkola  \nLUT University, Finland John McPhee  \nUniversity of Waterloo, Canada  \nAcronyms  \nAI Arti􀀌cial Intelligence. 3, 4, 13, 14, 22, 32  \nANN Arti􀀌cial Neural Network. 5, 6, 15, 20, 23, 35  \nCNN Convolutional Neural Network. 5{7, 15, 16, 20, 29, 35  \nDeLaN Deep Lagrangian Network. 34  \nDL Deep Learning. 4, 7, 8, 10, 15, 22, 24, 29, 31, 32  \nDNN Deep Neural Network. 4, 11, 27, 30  \nDOF Degree of Freedom. 28, 33, 36  \nDRL Deep Reinforcement Learning. 12, 27, 28, 31  \nEKF Extended Kalman Filter. 25  \nFFNN Feed-Forward Neural Network. 5, 15, 17  \nGAN Generative Adversarial Network. 13, 15, 18, 30  \nGNS Graph Network-Based Simulator. 36  \nIL Imitation Learning. 29  \nIRL Inverse Reinforcement Learning. 29, 30, 33  \nKF Kalman Filter. 25  \nLQR Linear Quadratic Regulator. 23, 25, 26, 29, 31  \nLSTM Long Short-Term Memory. 8, 22, 35  \nMBRL Model-Based Reinforcement Learning.","cbCaijq2KGwMytMk","https://ap.wps.com/l/cbCaijq2KGwMytMk","pdf",1258024,46,"English","# Introduction\n## Intersection of AI and mechanical engineering\n## Motivation for combining multibody dynamics and machine learning\n# Survey focus and scope\n## Neural networks and deep learning\n## Research areas: modeling, control, estimation\n# Primer and future directions\n## Machine learning primer\n## Future research outlook","[{\"question\":\"How does multibody system dynamics support machine learning in this survey?\",\"answer\":\"Multibody methods can provide synthetic data and help build subsystem representations that machine learning can use for learning and prediction.\"},{\"question\":\"What are the three main research areas identified in the review?\",\"answer\":\"The review groups work into data-driven modeling, model-based control and estimation, and data-driven control.\"},{\"question\":\"What type of neural networks does the review focus on?\",\"answer\":\"It focuses mainly on neural networks, with particular emphasis on deep learning techniques applied to multibody system methods.\"}]","Multibody Dynamics and Control using Machine Learning | PDF",116,{"code":4,"msg":82,"data":99},[100,104,108,112,117,122,127,130,135,138,142],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":109,"show_sort_weight":110,"slug":111},"Exam",70,"exam",{"id":113,"doc_module":4,"doc_module_name":25,"category_name":114,"show_sort_weight":115,"slug":116},5,"Comic",60,"comic",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":119,"show_sort_weight":120,"slug":121},6,"Technology",50,"technology",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":125,"slug":126},7,"Healthcare",40,"healthcare",{"id":86,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":128,"slug":129},30,"research-report",{"id":131,"doc_module":4,"doc_module_name":25,"category_name":132,"show_sort_weight":133,"slug":134},9,"Religion & Spirituality",20,"religion-spirituality",{"id":133,"doc_module":4,"doc_module_name":25,"category_name":136,"show_sort_weight":133,"slug":137},"World Cup","world-cup",{"id":139,"doc_module":4,"doc_module_name":25,"category_name":140,"show_sort_weight":139,"slug":141},10,"Lifestyle","lifestyle",{"id":143,"doc_module":4,"doc_module_name":25,"category_name":144,"show_sort_weight":113,"slug":145},19,"General","general"]