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The problem of coexistence of absolute and proportional uncertainties on the scheduling parameters is considered to address more practical situations. This challenging issue has been tackled by introducing a novel admissible region for the actual and measured scheduling parameters. Furthermore, all the system matrices of the LPV system are assumed to be polynomially dependent on the scheduling parameters with arbitrary degrees. Both Lyapunov and auxiliary matrices are considered to be parameter-dependent. The merit of the proposed method lies in its less conservativeness in comparison with the available approaches. The design method is presented in terms of solutions to a set of parameter-dependent linear matrix inequalities (LMIs) including parameter searches for two scalar values. The application of the provided method on an electromagnetic suspension (EMS) system is considered to demonstrate the applicability and benefits of the proposed approach for practical systems.<\/jats:p>","DOI":"10.1177\/01423312221078427","type":"journal-article","created":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T07:38:16Z","timestamp":1645601896000},"page":"2616-2629","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust gain-scheduled output feedback H2 controller synthesis with reduced conservativeness: An application to EMS system"],"prefix":"10.1177","volume":"44","author":[{"given":"Reza","family":"Yavari","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Iran University of Science and Technology, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arash","family":"Sadeghzadeh","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Shahid Beheshti University, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2014-3098","authenticated-orcid":false,"given":"Saeed","family":"Shamaghdari","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Iran University of Science and Technology, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,2,23]]},"reference":[{"key":"bibr1-01423312221078427","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cta.2020.0309"},{"key":"bibr2-01423312221078427","unstructured":"Agulhari CM, de Oliveira RCLF, Peres PLD (2012) Robust LMI Parser: A computational package to construct LMI conditions for uncertain systems. 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