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Behavioral Model Identification

På svenska

Author

Summary, in English

This paper presents theory and algorithms for system identification suitable for the framework of behavioral system theory. An algorithm based on algebraic system theory and realization theory (Ho-Kalman realization) in a subspace model identification framework is presented. The novel approach considered consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. As a special case, behavioral model identification from finite data sequences is demonstrated.

Publishing year

1998

Language

English

Pages

126-131

Publication/Series

Proc. IEEE Conf. Decision and Control (CDC'98), Tampa, Florida, December 1998

Document type

Conference paper

Topic

  • Control Engineering

Keywords

  • system identification
  • behavioral system theory
  • subspace model
  • input-output data
  • impulse response
  • state-space model
  • behavioral model
  • MIMO systems

Conference name

37th Conference on Decision and Control, 1998

Conference date

1998-12-18 - 1998-12-18

Conference place

Tampa, Florida, United States

Status

Published