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Model Design and Simulation of a Certain Class of Nonlinear Processes

  • K. Diekmann
Conference paper
Part of the Informatik-Fachberichte book series (INFORMATIK, volume 71)

Abstract

The knowledge of a good mathematical model is an important prerequisite to the successful application of modern control techniques. Many real world processes, however, can not be described by one model with one set of parameters, because they have different dynamic and static characteristics under different operating conditions. The paper presents a simple modification of well-known identification and simulation methods so that a single algorithm can itself estimate and simulate different sets of parameters for different operating conditions.

Keywords

Parallel Identification Parameter Estimation Method Noise Transfer Function Real World Process Ting Condition 
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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References

  1. /LJUN82/.
    Ljung, L., Identification methods, IFAC Symp.on’Identification and system parameter estimation, Washington 1982Google Scholar
  2. /G00D82/.
    Goodwin,G.C., An overview of the system identification problems-Experiment design, dito, Washington 1982Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1983

Authors and Affiliations

  • K. Diekmann
    • 1
  1. 1.BochumGermany

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