Recursive least squares identification for multirate multi-input single-output systems

This paper derives state-space models for multirate multi-input sampled-data systems. Based on the corresponding transfer function models, an auxiliary model based recursive least squares algorithm is presented to identify the model parameters of the multirate systems from the multirate input-output data. Further, convergence properties of the proposed algorithm are analyzed. An illustrative example is given.