Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation

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