An improved method using factor division algorithm for reducing the order of linear dynamical system
| Autor: | Gagandeep Kaur, Sharad Kumar Tiwari |
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| Rok vydání: | 2016 |
| Předmět: |
Input/output
Model order reduction 0209 industrial biotechnology Polynomial Multidisciplinary Markov chain Division algorithm 020208 electrical & electronic engineering 02 engineering and technology Linear dynamical system LTI system theory 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Applied mathematics Cluster analysis Mathematics |
| Zdroj: | Sādhanā. 41:589-595 |
| ISSN: | 0973-7677 0256-2499 |
| DOI: | 10.1007/s12046-016-0499-2 |
| Popis: | An improved method is proposed to determine the reduced order model of large scale linear time invariant system. The dominant poles of the low order system are calculated by clustering method. The selection of pole to the cluster point is based on the contributions of each pole in redefining time moment and redefining Markov parameters. The coefficients of the numerator polynomial for reduced model are obtained using a factor division algorithm. This method is computationally efficient and keeps up the stability and input output characteristic of the original arrangement. |
| Databáze: | OpenAIRE |
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