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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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