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Item Details
Title: EXACT AND APPROXIMATE MODELING OF LINEAR SYSTEMS
A BEHAVIORAL APPROACH
By: Ivan Markovsky, Jan C. Willems, Sabine van Huffel
Format: Paperback

List price: £76.95


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ISBN 10: 0898716039
ISBN 13: 9780898716030
Publisher: SOCIETY FOR INDUSTRIAL & APPLIED MATHEMATICS,U.S.
Pub. date: 31 January, 2006
Series: Mathematical Modeling and Computation No. 11
Pages: 216
Description: 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.
Synopsis: 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.
Illustrations: illustrations
Publication: US
Imprint: Society for Industrial & Applied Mathematics,U.S.
Returns: Non-returnable
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ESSAYS ON CONTROL (HB)
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FROM DATA TO MODEL (PB)
INTRODUCTION TO MATHEMATICAL SYSTEMS THEORY (HB)
LOW RANK APPROXIMATION (HB)
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LOW-RANK APPROXIMATION
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OXYGEN TRANSPORT TO TISSUE XXXV (HB)
PERSPECTIVES IN MATHEMATICAL SYSTEM THEORY, CONTROL, AND SIGNAL PROCESSING (PB)
RECENT ADVANCES IN TOTAL LEAST SQUARES TECHNIQUES AND ERRORS-IN-VARIABLES MODELING (PB)
THE ANALYSIS OF FEEDBACK SYSTEMS (PB)
THE RICCATI EQUATION (HB)
THE RICCATI EQUATION (PB)
THE TOTAL LEAST SQUARES PROBLEM (PB)
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