Linear Parameter-varying System Identification

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By: Carlo Novara (Editor), Teresa Paula Azevedo Perdicoulis (Editor), Paulo Lopes Dos Santos (Editor), Jose A Ramos (Editor), Danel E Rivera (Editor)

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Hardcover | 4 January 2012

At a Glance

Hardcover
404 Pages

Dimensions(cm)
23.6 x 15.9 x 2.8

Hardcover

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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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