{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/optimal-control-mesh","title":"Optimal Control Mesh","arxiv_id":null,"date":"2012-10-24","proceeding":"World Congress on Engineering and Computer Science 2012 2012 10","authors":["Peter Taraba"],"abstract":"We present a novel algorithm for optimal control of nonlinear systems, which creates control function over a mesh on a region of interest. The algorithm presented in this paper is an alternative to a set-oriented approach and subdivision algorithm for optimal control. The main contribution of this paper is error estimation for a found solution. We show on two dimensional and three dimensional problems, that this new algorithm is faster than a subdivision algorithm. In comparison with a set-oriented approach, the new algorithm keeps the same advantages as the subdivision algorithm which include a smaller memory foot-print of the final solution, no need for discretization and knowledge when to stop increasing the mesh size.","url_abs":"https://www.frisky.world/p/optirol.html","url_pdf":"http://www.iaeng.org/publication/WCECS2012/WCECS2012_pp1110-1115.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"optimal-control-mesh","repo_url":"https://github.com/peta78/Optirol","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}