An innovation approach to optimize a Kalman filter with an H∞ error bound by secant method
- Author
- WU, B.-F1 ; HSU, H.-H1
[1] Department of Control Engineering, National Chiao Tung University, Hsinchu, Taiwan, Province of China - Source
International journal of systems science. 1996, Vol 27, Num 7, pp 651-660 ; ref : 21 ref
- CODEN
- IJSYA9
- ISSN
- 0020-7721
- Scientific domain
- Control theory, operational research
- Publisher
- Taylor & Francis, London
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Energie minimale Erreur estimation Filtre Kalman Optimisation H infini
- Keyword (en)
- Minimum energy Estimation error Kalman filter H infinite optimization
- Keyword (es)
- Energía mínima Error estimación Filtro Kalman Optimización H infinito
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 3145315
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1080/00207729608929262 
https://dx.doi.org/10.1080/00207729608929262
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