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The main procedure is to use a series of expansion coefficients vectors in the space spanned by orthogonal polynomials that satisfy a recursive formula to generate a projection based on the multiorder Arnoldi algorithm. The resulting model not only match desired number of expansion coefficients but also has the same coupled structure as the original system. Moreover, the stability is preserved as well. The error bound between the outputs is well\u2010discussed. Finally, numerical results show that the authors\u2019 method can deal well with those systems with inhomogeneous initial conditions in the views of accuracy and computational cost.<\/jats:p>","DOI":"10.1049\/iet-cds.2018.5076","type":"journal-article","created":{"date-parts":[[2019,5,14]],"date-time":"2019-05-14T22:49:17Z","timestamp":1557874157000},"page":"879-887","update-policy":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Structure\u2010preserved MOR method for coupled systems via orthogonal polynomials and Arnoldi algorithm"],"prefix":"10.1049","volume":"13","author":[{"given":"Zhen\u2010Zhong","family":"Qi","sequence":"first","affiliation":[{"name":"Department of Mathematics Northwest University Xi'an Shaanxi 710127 People's Republic of China"}]},{"given":"Yao\u2010Lin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics Xi'an Jiaotong University Xi'an Shaanxi 710049 People's Republic of China"}]},{"given":"Zhi\u2010Hua","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Information and Mathematics Yangtze University Jingzhou Hubei 434023 People's Republic of China"}]}],"member":"265","published-online":{"date-parts":[[2019,9,2]]},"reference":[{"key":"e_1_2_8_2_2","volume-title":"Model order reduction methods","author":"Jiang Y.L.","year":"2010"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78841-6_1"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/43.45867"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02523124"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0962492902000120"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2005.04.032"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1981.1102568"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2011.2161839"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cds.2016.0430"},{"key":"e_1_2_8_11_2","volume-title":"PhD thesis","author":"Bechtold T.","year":"2005"},{"key":"e_1_2_8_12_2","first-page":"286","article-title":"Model reduction for RF MEMS simulation","volume":"3732","author":"Bindel D.S.","year":"2006","journal-title":"Applied Parallel Computing: Seventh Int. 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