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Hierarchical least squares identification for periodically non-uniformly sampled systems. (Chinese. English summary) Zbl 1240.93073

Summary: An input-output representation is obtained for the periodically non-uniformly sampled systems by using the discretization technique of the state space models. According to the hierarchical identification principle, the obtained identification model is decomposed into two fictitious subsystems, one containing the parameter vector and the other containing the parameter matrix. Taking into account the causality constraints, the subsystem with the parameter matrix is also decomposed into several sub-subsystems, and the hierarchical least squares identification method is developed for the non-uniformly sampled systems. The simulation results show the effectiveness of the proposed algorithm.

MSC:

93B30 System identification
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