{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:56:45Z","timestamp":1753883805753,"version":"3.41.2"},"reference-count":28,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2012,8,22]],"date-time":"2012-08-22T00:00:00Z","timestamp":1345593600000},"content-version":"vor","delay-in-days":234,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2012,1]]},"abstract":"<jats:p>The problem of delay\u2010range\u2010dependent stability for T\u2010S fuzzy system with interval time\u2010varying delay is investigated. The constraint on the derivative of the time\u2010varying delay is not required, which allows the time delay to be a fast time\u2010varying function. By developing delay decomposition approach, integral inequalities approach (IIA), and Leibniz\u2010Newton formula, the information of the delayed plant states can be taken into full consideration, and new delay\u2010dependent sufficient stability criteria are obtained in terms of linear matrix inequalities (LMIs) which can be easily solved by various optimization algorithms. Simulation examples show resulting criteria outperform all existing ones in the literature. It is worth pointing out that our criteria are carried out more efficiently for computation and less conservatism of the proposed criteria.<\/jats:p>","DOI":"10.1155\/2012\/475728","type":"journal-article","created":{"date-parts":[[2012,8,22]],"date-time":"2012-08-22T21:09:46Z","timestamp":1345669786000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Delay\u2010Range\u2010Dependent Stability Criteria for Takagi\u2010Sugeno Fuzzy Systems with Fast Time\u2010Varying Delays"],"prefix":"10.1155","volume":"2012","author":[{"given":"Pin-Lin","family":"Liu","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,8,22]]},"reference":[{"key":"e_1_2_5_1_2","first-page":"16","article-title":"Fuzzy identification of systems and its application to modeling and control","volume":"15","author":"Takagi T.","year":"1985","journal-title":"IEEE Transactions Systems Man 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