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Generalized Jacobi Spectral Method in Solving Nonlinear Filtering Problems

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The on-and off-line algorithm for the nonlinear filtering (NLF) problems was developed by Yau and the first author, and the Hermite spectral method (HSM) has been implemented to serve as the off-line computations. Notice that the true states in real applications can always be assumed to be bounded. In this paper, we shall investigate the Jacobi spectral method (JSM) instead to numerically solve the forward Kolmogorov equation (FKE) arising in NLF problems. The convergence rate of JSM to FKE is analyzed in the suitable function space, which is twice as fast as that in HSM. The formulation has been detailed for an essentially infinite-dimensional NLF problem, the 1-d cubic sensor problem. Compared with HSM, the JSM yields more accurate result.

源语言英语
主期刊名2018 IEEE Conference on Decision and Control, CDC 2018
出版商Institute of Electrical and Electronics Engineers Inc.
7206-7212
页数7
ISBN(电子版)9781538613955
DOI
出版状态已出版 - 2 7月 2018
活动57th IEEE Conference on Decision and Control, CDC 2018 - Miami, 美国
期限: 17 12月 201819 12月 2018

出版系列

姓名Proceedings of the IEEE Conference on Decision and Control
2018-December
ISSN(印刷版)0743-1546
ISSN(电子版)2576-2370

会议

会议57th IEEE Conference on Decision and Control, CDC 2018
国家/地区美国
Miami
时期17/12/1819/12/18

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