Parameter Estimation for Frequency Responses

  • Rolf Isermann
  • Marco Münchhof


This chapter presents parameter estimation methods which use the non-parametric frequency response function as an intermediatemodel. Using this intermediatemodel can provide many advantages: One can use methods such as the orthogonal correlation to record the frequency response function even under very adverse (noise) conditions. Furthermore, the experimental data are in most cases condensed by smoothing the frequency response function before the parameter estimation method is applied. Also, the non-parametric frequency response function can give hints on the model order to choose, the presence of a dead-time, resonances, and so forth.


Frequency Response Dead Time Frequency Response Function Intermediate Model 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 Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Technische Universität Darmstadt, Institut für AutomatisierungstechnikDarmstadtGermany

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