Routh-approximant time-domain reduced-order models for single-input single-output systems

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Abstract
The problem of deriving reduced-order models of a higher-dimensional system from its state-space description is considered under the constraint that the model-reduction procedure should not involve the evaluation of system eigenvalues, should not involve any optimisation algorithm and should yield a stable lower-order model for a stable system. The Routh-approximant modelling procedure in the frequency domain has the above characteristics. This paper presents a time-domain adaptation of the Routh-approximant frequency-domain modelling procedure to achieve the above objectives for s.i.s.o. systems. The lower-order time-domain model matrices are derived by a suitable truncation of the original system matrices in their γ-δ canonic structure. The aggregation matrix relating the system and model state vectors is also derived. A numerical example is included to illustrate the procedure.

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