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  • 标题:Numerical Computational Improvement of the Stable-Manifold Method for Nonlinear Optimal Control * * This work is supported by the JSPS Kakenhi Grant Number JP15K06157 and the Nanzan University Pache Research Subsidy I-A-2 for the academic years 2016 and 2017.
  • 本地全文:下载
  • 作者:Yasuaki Oishi ; Noboru Sakamoto
  • 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:5103-5108
  • DOI:10.1016/j.ifacol.2017.08.777
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTwo numerical computational techniques are presented for improvement of the stable-manifold method, which is effective for nonlinear optimal control. The first technique is for generation of points on the stable manifold in a robust way against numerical errors. There, a special numerical method that preserves Hamiltonian is used to solve a differential equation sensitive to numerical errors. The second technique is a sort of shooting method to generate a point corresponding to the desired system state. Again, numerical robustness is an issue there. The two techniques are applied to an example system and shown to be effective.
  • 关键词:Keywordsnonlinear optimal controlstable-manifold methodHamiltonian systemnumerical computationaveraged-vector-field methodGaussian quadrature formulashooting methodQR-decomposition
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