A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems

@article{Verhaegen1995ACO,
  title={A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems},
  author={Michel Verhaegen and Xiaode Yu},
  journal={Automatica},
  year={1995},
  volume={31},
  pages={201-216}
}
Subspace model identification algorithms that allow the identification of a linear, time-varying (LTV) state space model from an ensemble set of input-output measurements are presented in this paper. Each pair of input and output sequences in this ensemble is recorded when the underlying system to be identified undergoes the same time-varying behavior. The algorithms operate directly on the available ensemble of input-output data and are a generalization of the recently proposed~Multivariable… CONTINUE READING
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