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The phenomenon of compact model has become an extensive area of research. This article presents a mixed approach for model order reduction (MOR) of a single input and single output system (SISO). The technique is based on Padé approximation which gives equal emphasis to time moments and Markov parameters and a nature-based particle swarm optimization (PSO) approach. In this mixed method, numerator...
A hybrid approach for model order reduction is proposed in this paper. The approximants for denominator polynomial are derived by matching both Markov parameters and Time moments, whereas numerator polynomial derivation and error minimization is done using Fminsearch algorithm. The efficiency of the proposed method can be investigated in terms of closeness of the response of reduced order model with...
In this paper a mixed approach for model order reduction is proposed. The proposed approach combines eigen spectrum analysis and Pade based moment matching technique for model order reduction. The denominator of the higher order system(HOS) is derived using eigen spectrum analysis whereas numerator dynamics are determined using Pade based moment matching technique which utilizes both time moment and...
Model order reduction (MOR) has been an emergent field of research in control theory and numerical analysis. This paper presents a Padé approximation based technique i.e. matching of both time moments and Markov parameters for order reduction of single input single output (SISO) system.
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