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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

MARC

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245 0 0 |a Linear parameter-varying system identification :  |b new developments and trends /  |c editors, Paulo Lopes dos Santos [and others]. 
260 |a Singapore :  |b World Scientific Pub. Co.,  |c 2012. 
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490 1 |a Advanced series in electrical and computer engineering ;  |v v. 14 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 |a 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 approaches such as optimization methods for input/output LPV models Identification, set membership methods, optimization methods and subspace methods for state-space LPV models identification and orthonormal basis functions methods. Since there is a strong connection between LPV systems, hybrid switching systems and piecewise affine models, identification of hybrid switching systems and piecewise affine systems will be considered as well. 
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