Model Order Reduction of Discrete-Time Systems Using Fuzzy C-Means Clustering
A computationally simple approach of model order reduction for single input single output (SISO) and linear timeinvariant discrete systems modeled in frequency domain is proposed in this paper. Denominator of the reduced order model is determined using fuzzy C-means clustering while the numerator parameters are found by matching time moments and Markov parameters of high order system.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087318Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2332
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