Identification for control — What is there to learn?

  • Lennart Ljung
Part C Modeling, Identification And Estimation
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 241)


This paper reviews some issues in system identification that are relevant for building models to be used for control design. We discuss how to concentrate the fit to important frequency ranges, and how to determine which these are. Iterative and adaptive approaches are put into this framework, as well as model validation. Particular attention is paid to the presentation and visualization of the results of residual analysis.


Model Validation Adaptive Control Closed Loop Control Design Model Residual 
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 1999

Authors and Affiliations

  • Lennart Ljung
    • 1
  1. 1.Department of Electrical EngineeringLinköping UniversityLinköpingSweden

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