{"id":37608,"date":"2026-04-16T09:02:15","date_gmt":"2026-04-16T00:02:15","guid":{"rendered":"https:\/\/blog.agentsoft.co.kr\/index.php\/2026\/04\/16\/37608\/"},"modified":"2026-04-16T09:02:15","modified_gmt":"2026-04-16T00:02:15","slug":"%ec%97%b0%ec%84%b8%eb%8c%80%ed%95%99%ea%b5%90-%ec%a0%9c%ec%96%b4-%eb%b0%8f-%ec%a7%80%eb%8a%a5%ed%98%95-%ec%8b%9c%ec%8a%a4%ed%85%9c%ec%9d%98-%ed%95%b4%ec%84%9d-%eb%b0%8f-%ec%84%a4%ea%b3%84","status":"publish","type":"post","link":"https:\/\/blog.agentsoft.co.kr\/index.php\/2026\/04\/16\/37608\/","title":{"rendered":"[\uc5f0\uc138\ub300\ud559\uad50] \uc81c\uc5b4 \ubc0f \uc9c0\ub2a5\ud615 \uc2dc\uc2a4\ud15c\uc758 \ud574\uc11d \ubc0f \uc124\uacc4 &#8211; \ucd5c\uc885 \ubcf4\uace0\uc11c (Model Predictive Control)"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/image4.happycampus.com\/Production\/thumbnail\/2024\/05\/26\/data29931215-0001.jpg\"><img decoding=\"async\" src=\"https:\/\/image4.happycampus.com\/Production\/thumbnail\/2024\/05\/26\/data29931215-0002.jpg\"><\/p>\n<p><strong>\ubaa9\ucc28<\/strong><\/p>\n<p>1. Introduction<br \/>\n2. Model Predictive Control<br \/>\n3. Inverted Pendulum Dynamics<br \/>\n4. Problem Formulation<br \/>\n5. Conclusion<\/p>\n<p><strong>\ubcf8\ubb38\ub0b4\uc6a9<\/strong><\/p>\n<p>I. INTRODUCTION<br \/>\nCONTROL SYSTEMS have a wide variety of use in different areas ranging from robotics to biological systems. Numerous control theories have been developed, including model predictive control (MPC), a type of optimal control which uses system models to predict their future behavior. In this study, MPC is applied to the tracking problem of an inverted pendulum to demonstrate its applicability.<\/p>\n<p>\ucd9c\ucc98 : <a href=\"https:\/\/www.happycampus.com\/report-doc\/29931215\/\" target=\"_blank\">\ud574\ud53c\ucea0\ud37c\uc2a4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ubaa9\ucc28 1. Introduction 2. Model Predictive Control 3. Inverted Pendulum Dynamics 4. Problem Formulation 5. Conclusion \ubcf8\ubb38\ub0b4\uc6a9 I. INTRODUCTION CONTROL SYSTEMS have a wide variety of use in different areas ranging from robotics to biological systems. Numerous control theories have been developed, including model predictive control (MPC), a type of optimal control which uses system [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[46993,46994,20607,3910,44083],"class_list":["post-37608","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-mpc","tag-pendulum","tag-20607","tag-3910","tag-44083"],"_links":{"self":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/37608","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/comments?post=37608"}],"version-history":[{"count":0,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/posts\/37608\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/media?parent=37608"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/categories?post=37608"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.agentsoft.co.kr\/index.php\/wp-json\/wp\/v2\/tags?post=37608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}