{"id":15,"date":"2022-12-06T14:48:13","date_gmt":"2022-12-06T13:48:13","guid":{"rendered":"https:\/\/pocifac.themecloud.dev\/?page_id=15"},"modified":"2026-10-07T14:52:42","modified_gmt":"2026-10-07T12:52:42","slug":"general-information","status":"publish","type":"page","link":"https:\/\/conferences.ifac-control.org\/nmpc2027\/general-information\/","title":{"rendered":"General information"},"content":{"rendered":"\n
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GENERAL INFORMATION<\/strong><\/h1>\n\n\n\n
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Join us for IFAC NMPC 2027 (single-track conference) in Hamburg, where the sea meets the city and old maritime grit runs into world-class culture!<\/p>\n\n\n\n

Background and Scope<\/strong><\/h2>\n\n\n\n

Over the past decades Model Predictive Control (MPC) has emerged as one of the most successful advanced control methods. Its industrial application range from process industry, via energy and power systems to aeronautics and mechatronics\/robotics and automotive. A key driver for this success is its ability to handle constraints, to utilize preview information and forecasts, Moreover, the core idea of MPC, i.e. the receding-horizon solution of an optimal control problem, can be straightforwardly combined with concepts from distributed optimization, data-driven system approximation and machine learning. Moreover, predictive control enables the consideration of a wide range of system classes including nonlinear, hybrid, infinite-dimensional and stochastic systems. The 9th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2027) aims to bring together researchers interested in and work in the MPC field from both academia and industry. The first iterations of IFAC NMPC took place in 1998 in Switzerland and the conference has been visiting Germany (2005), Italy (2008), The Netherlands (2012), Spain (2015), USA (2018), Slovakia (2021) and Japan (2024). The conference is run as a single-track conference over 3,5 days.<\/p>\n\n\n\n

Topics<\/strong><\/h2>\n\n\n\n

NMPC2027 covers a wide range of research directions in control theory and applications. The topics of interest include the following, but are not limited to:<\/p>\n\n\n\n