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Linear Parameter-varying System Identification: New Developments And Trends

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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.
Release date Australia
January 4th, 2012
Audiences
  • Professional & Vocational
  • Tertiary Education (US: College)
Contributors
  • Edited by Carlo Novara
  • Edited by Danel E Rivera
  • Edited by Jose A Ramos
  • Edited by Paulo Lopes dos Santos
  • Edited by Teresa Paula Azevedo Perdicoulis
Pages
404
Dimensions
155x229x28
ISBN-13
9789814355445
Product ID
10849943

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