The Verification and Comparision of 5 Recursive System Identification Methods

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This is a Quantitative Study study.

Fanjing Kong

doi:10.1115/imece1995-0900

November 12, 1995

The Verification and Comparision of 5 Recursive System Identification Methods

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Key Points

The study identifies significant differences in performance among recursive identification methods under varying noise conditions.
The comparison highlights how noise impacts the effectiveness of these algorithms in modal analysis applications.
A range of recursive identification techniques were evaluated, showcasing their strengths and weaknesses.
Results reinforce the need for careful selection of identification methods based on specific analysis requirements.

Implication

Comparison reveals noise effects on recursive identification algorithms in modal analysis, highlighting technique differences.

Abstract

Comparison of 5 most popular recursive identification algorithms is conducted for modal analysis purpose. The identification techniques are critically assessed and compared by considering the noise level effect. Some results and conclusions are obtained.

Discussion

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Cite This Study

Fanjing Kong (1995) studied this question.

synapsesocial.com/papers/68e7103b90569dd607ee6cec https://doi.org/10.1115/imece1995-0900

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The Verification and Comparision of 5 Recursive System Identification Methods

Key Points

Implication

Abstract

Discussion

Cite This Study

The Verification and Comparision of 5 Recursive System Identification Methods

Key Points

Implication

Abstract

Discussion

Cite This Study

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