IMM Estimator Versus Optimal Estimator for Hybrid Systems

Y. Bar-Shalom; S.  Challa; H.A.P. Blom

doi:10.1109/TAES.2005.1541443

IMM Estimator Versus Optimal Estimator for Hybrid Systems

Y. Bar-Shalom^*, S. Challa, H.A.P. Blom

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

The special feature of the interacting multiple model (IMM) estimator that distinguishes it from other suboptimal multiple model (MM) estimators is the “mixing/interaction” between its “mode-matched” base state filtering modules at the beginning of each cycle. This note shows that the same feature is exactly what it has in common with the optimal estimator for hybrid (MM) systems and this can be seen as the main reason for its success.

Original language	English
Article number	0018-9251/05
Pages (from-to)	986-991
Number of pages	6
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	41
Issue number	3
DOIs	https://doi.org/10.1109/TAES.2005.1541443
Publication status	Published - 2005
Externally published	Yes

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10.1109/TAES.2005.1541443

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title = "IMM Estimator Versus Optimal Estimator for Hybrid Systems",

abstract = "The special feature of the interacting multiple model (IMM) estimator that distinguishes it from other suboptimal multiple model (MM) estimators is the “mixing/interaction” between its “mode-matched” base state filtering modules at the beginning of each cycle. This note shows that the same feature is exactly what it has in common with the optimal estimator for hybrid (MM) systems and this can be seen as the main reason for its success.",

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DO - 10.1109/TAES.2005.1541443

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JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

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IMM Estimator Versus Optimal Estimator for Hybrid Systems

Abstract

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