Continuous-Time Identification

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

Abstract

This chapter considers the problem of estimation of the transfer function of a continuous-time dynamic system in the presence of colored noise. Whereas parameter estimation can be made by means of a discrete-time maximum-likelihood algorithm, an operator transformation permits a continuous-time model parameterization. The method is useful in cases where it is important to estimate the coefficients of a continuous-time transfer function and to maintain a physical interpretation of the transfer function results.
Original languageEnglish
Title of host publicationControl Systems, Robotics and Automation, Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO
EditorsHeinz Unbehauen
PublisherEolss Publishing CO. Ltd.
Publication statusPublished - 2002

Subject classification (UKÄ)

  • Control Engineering

Free keywords

  • Feedback
  • Laplace transform
  • Sampled Data
  • Time-invariant systems
  • Transfer function
  • Frequency response
  • Continuous-time systems

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