On behavioral model identification

Authors:
Rolf Johansson;Anders Robertsson
Affiliations:
Department of Automatic Control, Lund Institute of Technology, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden;Department of Automatic Control, Lund Institute of Technology, Lund University, P.O. Box 118, SE-22l 00 Lund, Sweden
Venue:
Signal Processing
Year:
2004

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Abstract

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 taken consists of the formulation of input-output data as an impulse response model and the subsequent application of state-space realization. The method provides an approximation framework for simultaneous model identification and signal reconstruction.