CCE Faculty Books and Book Chapters
Linear parameter-varying system identification: New developments and trends
ORCID
Jose A. Ramos0000-0003-4966-4265
Document Type
Book
ISBN
9789814355445
Publication Date
2012
Editors
Lopes Do Santos, P., Azevedo Perdicoulis, T.P., Novara, C., Ramos, J.A., Rivera, D.E.
Description
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.
Publisher
World Scientific Publishing
City
Singapore
Disciplines
Computer Sciences
NSUWorks Citation
Lopes dos Santos, Paolo; Azevedo Perdicoulis, Teresa Paula; Novara, Carlo; Ramos, Jose A.; and Rivera, Daniel E., "Linear parameter-varying system identification: New developments and trends" (2012). CCE Faculty Books and Book Chapters. 30.
https://nsuworks.nova.edu/gscis_facbooks/30
