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The Interacting Multiple Model Feedback Particle Filter for the State-dependent Switching Diffusion Systems

  • Yiyang Chen
  • , Ruoyu Wang
  • , Dengyu Yang
  • , Xue Luo*
  • *此作品的通讯作者
  • 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

In this paper, we develop the interacting multiple model-feedback particle filter (IMM-FPF) for the state-dependent switching diffusion systems (SD-SDS). Starting from the Kushner's equation of the hybrid state, we derive the evolutionary equations for the modes' and the continuous states' probabilities given the mode. The IMM is used to merge the estimate of the continuous states from all the modes. As for the implementation, the constant gain approximation is used in the FPF. At last, the numerical example of a three-mode SD-SDS is experimented. Both the accuracy and the efficiency are compared with the IMM-particle filter.

源语言英语
主期刊名11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025
出版商Institute of Electrical and Electronics Engineers Inc.
242-247
页数6
ISBN(电子版)9798331503383
DOI
出版状态已出版 - 2025
活动11th International Conference on Control, Decision and Information Technologies, CoDIT 2025 - Split, 克罗地亚
期限: 15 7月 202518 7月 2025

出版系列

姓名11th 2025 International Conference on Control, Decision and Information Technologies, CoDIT 2025

会议

会议11th International Conference on Control, Decision and Information Technologies, CoDIT 2025
国家/地区克罗地亚
Split
时期15/07/2518/07/25

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