Some Modern Developments in System Identification Using Parameter Estimation Methods

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


Process identification by parameter estimation methods has been used successfully in practical application during recent years. Variations and modifications of the models and the estimation algorithm often had to be developed to overcome the special needs of the investigated processes, because ‘classical’ parameter estimation methods are limited usually to linear, time-invariant single-input/single-output systems. Most practical processes, however, belong to one of the following system classes:
  • time-variant systems,

  • nonlinear systems,

  • closed loop systems,

  • multi-input/multi-output systems, or

  • distributed parameter systems.


Blast Furnace State Space Model Modern Development Distribute Parameter System Parameter Estimation Method 
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-UniversitätBochumDeutschland

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