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The multirate multi-input systems have different updating periods and sampling periods such that the traditional identification algorithms cannot be used to identify such multirate systems. By using the auxiliary model identification idea, the multi-innovation stochastic gradient algorithm is developed to estimate the parameters of multirate systems. Finally, an illustrative example is given to verify...
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...
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