Name: Exact and Approximate Modeling of Linear Systems. A Behavioral Approach (en Inglés)
SKU: 68341890
Price: 2058.50 MXN
Availability: InStock
Author: Ivan Markovsky;Jan C. Willems;Sabine Van Huffel;Bart De Moor
ISBN: 9780898716030

portada Exact and Approximate Modeling of Linear Systems. A Behavioral Approach (en Inglés)

Exact and Approximate Modeling of Linear Systems. A Behavioral Approach (en Inglés)

Formato

Libro Físico

Editorial

SIAM - Society for Industrial and Applied Mathematics

Autor

Ivan Markovsky;Jan C. Willems;Sabine Van Huffel;Bart De Moor

Colección

Mathematical Modeling and Computation

Año

2006

Idioma

Inglés

N° páginas

216

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9780898716030

Exact and Approximate Modeling of Linear Systems. A Behavioral Approach (en Inglés)

Ivan Markovsky;Jan C. Willems;Sabine Van Huffel;Bart De Moor (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

Libro Nuevo Importado

Envío: 22 a 27 días háb.

$ 3,742.72$ 2,058.50

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 2 unidades

$ 2,058.50

¡Envío Gratis! Llega entre el 19 Nov y el 27 Nov a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Exact and Approximate Modeling of Linear Systems. A Behavioral Approach (en Inglés)"

Introduces the behavioural approach to mathematical modelling, an approach that requires models to be viewed as sets of possible outcomes rather than to be a priori bound to particular representations. The authors discuss exact and approximate fitting of data by linear, bilinear, and quadratic static models and linear dynamic models.

Exact and Approximate Modeling of Linear Systems elegantly introduces the behavioural approach to mathematical modeling, an approach that requires models to be viewed as sets of possible outcomes rather than to be a priori bound to particular representations. The authors discuss exact and approximate fitting of data by linear, bilinear, and quadratic static models and linear dynamic models, a formulation that enables readers to select the most suitable representation for a particular purpose.

This book presents exact subspace-type and approximate optimization-based identification methods, as well as representation-free problem formulations, an overview of solution approaches, and software implementation. Readers will find an exposition of a wide variety of modeling problems starting from observed data. The presented theory leads to algorithms that are implemented in C language and in MATLAB.