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.
|Title of host publication||Linear parameter-varying system identification : new developments and trends|
|Editors||P.L. Santos, dos, T.P.A. Perdicoúlis, C. Novara, J.A. Ramos, D.E. Rivera|
|Place of Publication||Singapore|
|Number of pages||404|
|Publication status||Published - 2011|
|Name||Advanced Series in Electrical and Computer Engineering|