Journal of Signal Processing
Online ISSN : 1880-1013
Print ISSN : 1342-6230
ISSN-L : 1342-6230
A Nonlinear Filter by Pseudo-Formal Linearization for Nonlinear Time-Varying Systems
Kazuo KomatsuHitoshi Takata
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2023 年 27 巻 1 号 p. 7-15

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This paper is concerned with a nonlinear filter for a general class of nonlinear time-varying systems, by making use of a pseudo-formal linearization method and Kalman filter approach. The given nonlinear time-varying dynamic and measurement equations are piecewisely linearized by the formal linearization method using Taylor expansion so that Kalman filter can be applied for each linearized time-varying equations. Then the resulting filters are smoothly united into a single nonlinear filter by an automatic choosing function. The efficiency of this filter is shown through numerical examples.

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© 2023 Research Institute of Signal Processing, Japan
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