Introduction to System Identification Using Parameter Estimation Methods

  • H. Unbehauen
Part of the International Centre for Mechanical Sciences book series (CISM, volume 272)


The rapid progress in the field of computer technology during recent years has led to an increasing use of process computers to analyse, supervise and control technical processes. Process computers provide the opportunity to sample and store measuring data in a short time, and to process them immediately for better process operation (e.g. with optimum efficiency, best product quality, optimum time behaviour etc.). An important condition for optimum process operation is the knowledge of the process behaviour in the past, at present and in the future. The use of computers allows a permanent analysation or identification of the process dynamics by evaluating the input and output signals of the system. The result of such a process identification is usually a mathematical model, by which the static and dynamic behaviour can be estimated or predicted.


Output Signal Instrumental Variable Parameter Estimation Method Structural Coefficient Auxiliary Model 
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 Wien 1982

Authors and Affiliations

  • H. Unbehauen
    • 1
  1. 1.Ruhr-UniversitätBochumGermany

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