Modified Subspace Identification for Periodically Non-uniformly Sampled Systems by Using the Lifting Technique

This paper studies identification problems for a class of multirate systems—non-uniformly sampled systems. The lifting technique is employed to handle the non-uniformly sampled input and output data, a lifted state-space model is derived to represent the non-uniform discrete-time systems, and a novel subspace identification method is proposed to deal with the casuality constraints in the lifted model. Simulation results show that the algorithm is effective.

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