Linear parameter-varying system identification: New developments and trends

Paulo Lopes dos Santos, Teresa Paula Azevedo Perdicoúlis, Carlo Novara, Jose A. Ramos, Daniel E. Rivera

Research output: Book/ReportBook

14 Scopus citations

Abstract

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.

Original languageEnglish (US)
PublisherWorld Scientific Publishing Co.
Number of pages385
ISBN (Electronic)9789814355452
DOIs
StatePublished - Dec 23 2011

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)

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