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Linear Models of Dynamic Processes and Signals

  • Yucai Zhu
  • Ton Backx
Part of the Advances in Industrial Control book series (AIC)

Abstract

Process identification is the subject of constructing models for certain utilitarian purposes from measured data. A first step in the total identification procedure is to determine a class of models in which the most suitable model is to be sought. In this chapter we will review some well known results on how to describe dynamic processes and signals using linear models.

Keywords

Transfer Operator Hankel Matrix Stationary Stochastic Process State Space Realization Computer Control System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1993

Authors and Affiliations

  • Yucai Zhu
    • 1
  • Ton Backx
    • 1
  1. 1.IPCOS b.v.BestThe Netherlands

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