Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems

A Systems Approach with Economic and Social Applications

  • Pieter W. Otter

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 246)

Table of contents

  1. Front Matter
    Pages N2-XIV
  2. Introduction

    1. Pieter W. Otter
      Pages 1-4
  3. Elements of System Theory

    1. Pieter W. Otter
      Pages 5-33
  4. Modelling, Filtering and Identification

    1. Pieter W. Otter
      Pages 34-59
    2. Pieter W. Otter
      Pages 60-78
    3. Pieter W. Otter
      Pages 113-134
  5. Control

    1. Pieter W. Otter
      Pages 135-162
  6. Back Matter
    Pages 163-183

About this book

Introduction

The literature on systems seems to have been growing almost expo­ nentially during the last decade and one may question whether there is need for another book. In the author's view, most of the literature on 'systems' is either technical in mathematical sense or technical ifF engineering sense (with technical words such as noise, filtering etc. ) and not easily accessible to researchers is other fields, in particular not to economists, econometricians and quantitative researchers in so­ cial sciences. This is unfortunate, because achievements in the rather 'young' science of system theory and system engineering are of impor­ tance for modelling, estimation and regulation (control) problems in other branches of science. State space mode~iing; the concept of ob­ servability and controllability; the mathematical formulations of sta­ bility; the so-called canonical forms; prediction error e~timation; optimal control and Kalman filtering are some examples of results of system theory and system engineering which proved to be successful in practice. A brief summary of system theoretical concepts is given in Chapter II where an attempt has been made to translate the concepts in­ to the more 'familiar' language used in econometrics and social sciences by means of examples. By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi­ neering and social sciences and econometrics, and to contribute to either side.

Keywords

Control Filtering Modelling Space duality econometrics modeling optimal control regression

Authors and affiliations

  • Pieter W. Otter
    • 1
  1. 1.Institute of EconometricsUniversity of GroningenGroningenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-45593-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1985
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-15654-3
  • Online ISBN 978-3-642-45593-3
  • Series Print ISSN 0075-8442
  • About this book