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First, two new non-linearity indices for multiple input\u2013multiple output systems are introduced and employed for decomposing the operating space of a gas turbine into some linear and non-linear modes. The non-linear modes may be further partitioned into some linear modes. The input and output data in each of the linear modes are used to construct an initial multiple model structure. In order to avoid the increase of the number of linear local models, the H-gap metric is extended to multiple input\u2013multiple output systems and used to measure the similarity between linear local models and to merge the similar models. As a result, an algorithm is proposed for construction of multiple linear local models. The algorithm is employed for the identification of a single-shaft prototype industrial gas turbine.<\/jats:p>","DOI":"10.1177\/0959651813479863","type":"journal-article","created":{"date-parts":[[2013,4,6]],"date-time":"2013-04-06T00:13:43Z","timestamp":1365207223000},"page":"482-494","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Automatic model bank selection in multiple model identification of gas turbine dynamics"],"prefix":"10.1177","volume":"227","author":[{"given":"SeyedM","family":"Hosseini","sequence":"first","affiliation":[{"name":"Department of Electrical & Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alireza","family":"Fatehi","sequence":"additional","affiliation":[{"name":"Department of Electrical & Computer Engineering, K. N. 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