Subspace Methods for System Identification

  • Tohru Katayama

Part of the Communications and Control Engineering book series (CCE)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Pages 1-14
  3. Preliminaries

  4. Realization Theory

  5. Subspace Identification

  6. Back Matter
    Pages 327-392

About this book

Introduction

System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results. The text is structured into three parts.

First, the mathematical preliminaries are dealt with: numerical linear algebra; system theory; stochastic processes; and Kalman filtering. The second part explains realization theory, particularly that based on the decomposition of Hankel matrices, as it is applied to subspace identification methods. Two stochastic realization results are included, one based on spectral factorization and Riccati equations, the other on canonical correlation analysis (CCA) for stationary processes. Part III uses the development of stochastic realization results, in the presence of exogenous inputs, to demonstrate the closed-loop application of subspace identification methods CCA and ORT (based on orthogonal decomposition).

The addition of tutorial problems with solutions and Matlab® programs which demonstrate various aspects of the methods propounded to introductory and research material makes Subspace Methods for System Identification not only an excellent reference for researchers but also a very useful text for tutors and graduate students involved with courses in control and signal processing. The book can be used for self-study and will be of much interest to the applied scientist or engineer wishing to use advanced methods in modeling and identification of complex systems.

Keywords

Control Control Engineering Control Systems Control Theory Filter Kalman Filtering Kalman filter Linear Systems Process Control Realization Theory Subspace development filtering signal processing systems theory

Authors and affiliations

  • Tohru Katayama
    • 1
  1. 1.Department of Applied Mathematics and Physics, Graduate School of InformaticsKyoto UniversityKyotoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/1-84628-158-X
  • Copyright Information Springer-Verlag London Limited 2005
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-85233-981-4
  • Online ISBN 978-1-84628-158-7
  • Series Print ISSN 0178-5354
  • About this book