On Behavioral Model Identification

In English This paper presents theory andalgorithms for system identification suitable for the framework of behavioral system theory. An algorithm basedon 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.