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When differential term matrices are allowed to be distinct in fuzzy rules, such fuzzy models can describe a wide class of nonlinear stochastic systems. Using fuzzy Lyapunov function (FLF), a new and relaxed sufficient condition is proposed via strict linear matrix inequalities (LMIs). Different from the existing stability conditions by FLF, the derivative bounds of fuzzy membership functions are not required in this condition. Based on admissibility analysis results, a design method for parallel distribution compensation (PDC) controller of FSSSs is given to guarantee the finite\u2010time admissibility of the closed\u2010loop system. Finally, the feasibility and effectiveness of the proposed methods in this article are illustrated with three examples.<\/jats:p>","DOI":"10.1155\/2021\/2858980","type":"journal-article","created":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T22:20:05Z","timestamp":1626906005000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Finite\u2010Time Admissibility and Controller Design for T\u2010S Fuzzy Stochastic Singular Systems with Distinct Differential Term 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