Linear Parameter-varying System Identification: New Developments And Trends

• Tipo: Livro
• Data: 2011

Autores

P. Lopes dos Santos (Autor) FEUP; Perdicoúlis, TPA (Autor) Outra; Novara, C (Autor) Outra; Ramos, JA (Autor) Outra; Rivera, DE (Autor) Outra

Editora

A editora está pendente de validação pelos Serviços Administrativos.

World Scientific Publishing Co.

Indexação

Scopus - 14 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de controlo

Outras Informações

ID Authenticus: P-00V-MW1

Abstract (EN): 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. Contents: Hybrid LPV Modeling and Identification (L Giarré, P Falugi & R Badalamenti); Set-Membership Identification of Input-Output LPV Models with Uncertain Time-Varying Parameters (V Cerone, D Piga & D Regruto); Set Membership Identification of State-Space LPV Systems (C Novara); Identification of Input-Output LPV Models (V Laurain, R Tóth, M Gilson & H Garnier); Reducing the Dimensions of Data Matrices Involved in LPV Subspace Identification Methods (V Verdult & M Verhaegen); Subspace Identification of MIMO LPV Systems (J-W van Wingerden & M Verhaegen); Subspace Identification of Continuous-Time State-Space LPV Models (M Lovera & Bergamasco); LPV Indirect Continuous-Time System Identification Through a Downsampled Subspace Approach (Paulo Lopes dos Santos, T-P Azevedo Perdicoúlis, J A Ramos & J L Martins de Carvalho); LPV System Identification Using Series Expansion Models (R Tóth, P S C Heuberger & P M J Van den Hof); System Identification of Linear Parameter Varying State- Space Models (A Wills & B Ninness); Piecewise Affine identification of Interconnected Systems with LFR Structure (S Paoletti & A Garuli); Identification and Model (In)validation of Switched ARX Systems: Moment-Based Approaches (C Feng, N Ozay, C M Lagoa & M Sznaier).

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 420

ISBN: 9789814355452

Coleção: Advanced Series in Electrical and Computer Engineering

Vol.: 14