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Continuous-Time Identification

Author

Editor

  • Heinz Unbehauen

Summary, in English

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.

Publishing year

2002

Language

English

Publication/Series

Control Systems, Robotics and Automation, Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO

Document type

Book chapter

Publisher

Eolss Publishing CO. Ltd.

Topic

  • Control Engineering

Keywords

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

Status

Published