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  • 标题:OPTIPLAN: A Matlab Toolbox for Model Predictive Control with Obstacle Avoidance
  • 本地全文:下载
  • 作者:Filip Janeček ; Martin Klaučo ; Martin Kalúz
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:531-536
  • DOI:10.1016/j.ifacol.2017.08.057
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper introduces OPTIPLAN - a Matlab-based toolbox for formulating, solving, and simulating model predictive controllers (MPC) with embedded obstacle avoidance functionality. The toolbox offers a simple, yet powerful user interface that allows control researchers and practitioners to set up even complex control problems with just a few lines of code. OPTIPLAN fully automates tedious mathematical and technical details and let the user concentrate on the problem formulation. It features a rich set of tools to perform closed-loop simulations with MPC controllers and to visualize the results in an appealing way. From a theoretical point of view, OPTIPLAN tackles non-convex obstacle avoidance constraints in two ways: either by using binary variables or by resorting to suboptimal, but convex, time-varying constraints.
  • 关键词:Keywordscollision avoidanceautonomous vehiclesmodel predictive control
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