Mastering System Identification

Johan Schoukens

ISBN 10: 0470936983 / ISBN 13: 9780470936986

Edité par Wiley Mär 2012, 2012

A propos de cet article

Neuware - Systems identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Mastering System Identification in 100 Exercises takes readers step by step through a series of MATLAB exercises that teach how to measure and model linear dynamic systems in the presence of nonlinear distortions from a practical point of view. Each exercise is followed by a short discussion illustrating what lessons can be learned by the reader.The book, with its learn-by-doing approach, also includes:State-of-the-art system identification methods, with both time and frequency domain system identification methods--including the pros and cons of eachSimple writing style with numerous examples and figuresDownloadable author-programmed MATLAB files for each exercise--with detailed solutionsLarger projects that serve as potential assignmentsCovering both classic and recent measurement and identifying methods, this book will appeal to practicing engineers, scientists, and researchers, as well as master's and PhD students in electrical, mechanical, civil, and chemical engineering.

N° de réf. du vendeur 9780470936986

Détails bibliographiques

• Titre: Mastering System Identification
• Éditeur: Wiley Mär 2012
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 0470936983
• ISBN à 13 chiffres: 9780470936986
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 254 L x 178 H x 16 P (en millimètres) 254 millimètres de largeur par 178 millimètres de hauteur par 16 millimètres de profondeur
• Poids: 536 grammes

A propos de ce titre

Synopsis

This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource.

À propos de l?auteur

Johan Schoukens, PhD, serves as a full-time professor in the ELEC Department at the Vrije Universiteit Brussel. He has been a Fellow of IEEE since 1997 and was the recipient of the 2003 IEEE Instrumentation and Measurement Society Distinguished Service Award.

Rik Pintelon, PhD, serves as a full-time professor at the Vrije Universiteit Brussel in the ELEC Department. He has been a Fellow of IEEE since 1998 and is the recipient of the 2012 IEEE Joseph F. Keithley Award in Instrumentation and Measurement (IEEE Technical Field Award).

Yves Rolain, PhD, serves as a full-time professor at the Vrije Universiteit Brussel in the ELEC department. He has been a Fellow of IEEE since 2006 and was the recipient of the 2004 IEEE Instrumentation and Measurement Society Technical Award.