Linear parameter-varying system identification : new developments and trends /
This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Singapore :
World Scientific Pub. Co.,
2012.
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Colección: | Advanced series in electrical and computer engineering ;
v. 14. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Introduction / C. Novara et al.
- 2. Hybrid LPV modeling and identification / L. Giarre, P. Falugi & R. Badalamenti
- 3. SM identification of IO LPV models with uncertain time-varying parameters / V. Cerone, D. Piga & D. Regruto
- 4. SM identification of state-space LPV systems / C. Novara
- 5. Identification of input-output LPV models / V. Laurain et al.
- 6. Reducing the dimensions of data matrices in LPV subspace identification / V. Verdult & M. Verhaegen
- 7. Subspace identification of MIMO LPV systems / J.W. van Wingerden & M. Verhaegen
- 8. Subspace identification of continuous-time state-space LPV models / M. Bergamasco & M. Lovera
- 9. Indirect continuous-time LPV system identification / P. Lopes dos Santos et al.
- 10. LPV system identification using series expansion models / R. Toth, P.S.C. Heuberger & P.M.J. Van den Hof
- 11. System identification of linear parameter varying state-space models / A. Wills & B. Ninness
- 12. PWA identification of interconnected systems with LFR structure / S. Paoletti & A. Garulli
- 13. Identification and model (in)validation of switched ARX systems / C. Feng et al.