Convergent algorithms for frequency weighted L2 model reduction
- Author
- YAN, W.-Y1 ; XIE, L1 ; LAM, J2
[1] School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
[2] Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong-Kong, Hong-Kong - Source
Systems & control letters. 1997, Vol 31, Num 1, pp 11-20 ; ref : 11 ref
- CODEN
- SCLEDC
- ISSN
- 0167-6911
- Scientific domain
- Control theory, operational research
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme Convergence Filtrage Filtre Kalman Gradient Modélisation Optimisation Pondération fréquence Réduction système Système commande linéaire Système commande multivariable L2 norm
- Keyword (en)
- Algorithms Convergence Filtering Kalman filter Gradient Modeling Optimization Frequency weighting System reduction Linear control systems Multivariable control systems
- Keyword (es)
- Convergencia Filtrado Filtro Kalman Gradiente Modelización Ponderación frecuencia Reducción sistema
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D05 Modelling and identification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D08 Optimal control
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 2835134
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
10.1016/S0167-6911(97)00022-4 
https://dx.doi.org/10.1016/S0167-6911(97)00022-4
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