Auxiliary model based multi-innovation stochastic gradient identification for multirate multi-input systems

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 the effectiveness of the proposed algorithm.