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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Santos, Paulo Lopes dos
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific Pub. Co., 2012.
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.