Acta mathematica scientia,Series A ›› 2023, Vol. 43 ›› Issue (4): 1244-1254.

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Anticipative Nonlinear Filtering Equations Affected by Observation Noises and Stability of Linear Filtering

Li Jize1,Qiu Jixiu1,Zhou Yonghui2,*()   

  1. 1School of Mathematics and Sciences, Guizhou Normal University, Guiyang 550025
    2School of Big Data and Computer Sciences, Guizhou Normal University, Guiyang 550025
  • Received:2022-09-01 Revised:2023-02-06 Online:2023-08-26 Published:2023-07-03
  • Contact: Yonghui Zhou E-mail:yonghuizhou@gznu.edu.cn
  • Supported by:
    Natural Science Foundation of China(11861025);QKZYD of Guizhou ([2022]4055)

Abstract:

In this paper, the filtering problem of an anticipative nonlinear signal-observation system with correlated noises over time is studied. With the help of enlargement of filtration, we turn the anticipative system into a higher dimensional and adaptive one, then for the new one's filtering problem, and derive both Zakai's equation and Kushner-FKK's equation together with their explicit solutions in a linear case. As an application, we obtain asymptotic stability of a linear filtering with some constant coefficients, which is similar to that of the classical Kalman-Bucy filtering.

Key words: Anticipative nonlinear system, Non-linear filtering, Zakai's equation, Kushner-FKK's equation, Asymptotic stability of linear filtering

CLC Number: 

  • O23
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