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The Bergman minimal model (BMM) describing the glucose-insulin regulatory system is framed as a linear parameter-varying (LPV) model that the sampled glucose measurement with the quantized insulin infusion is considered as input delay. The proposed method utilizes the input-delay approach based on a parameter-dependent Lyapunov\u2013Krasovskii functional (LKF) and provides the parameterized matrix inequality conditions for the design of the controller. Using the slack variables, the design conditions are converted to a new form that can achieve feasible solutions by solving a limited number of bilinear matrix inequality. The proposed architecture guarantees stability in a compact set of states for all the trajectories with the parametric uncertainty to address the issue of inter-patient variability. Simulation results confirm that the proposed sampled-data static output-feedback LPV controller with only glucose measurement regulates the BGC despite the parametric uncertainty and meal disturbances in T1DM patients.<\/jats:p>","DOI":"10.1177\/01423312221138698","type":"journal-article","created":{"date-parts":[[2022,12,9]],"date-time":"2022-12-09T05:15:51Z","timestamp":1670562951000},"page":"1313-1322","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Sample-data output-feedback parameter variable control of glucose for type 1 diabetes mellitus patients"],"prefix":"10.1177","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1735-9856","authenticated-orcid":false,"given":"Kaveh","family":"Hooshmandi","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Arak University of Technology, 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