Research on SINS initial alignment and the methods for the parameter γ Selection Based on H∞ Filtering Technique
Abstract:The H∞ filtering is introduced because KALMAN filtering accuracy is not high or even divergent issues when system model is uncertain or noise statistics characteristics are not accurate. H∞ filtering basic theory and recursive formulas are introduced and compared with KALMAN filtering in es...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Editorial Department of Journal of Sichuan University (Engineering Science Edition)
2009-01-01
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| Colección: | 工程科学与技术 |
| Materias: | |
| Acceso en línea: | http://jsuese.scu.edu.cn/thesisDetails?columnId=43956216&Fpath=home&index=0 |
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