{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T05:52:19Z","timestamp":1740808339503,"version":"3.38.0"},"reference-count":34,"publisher":"SAGE Publications","issue":"14","license":[{"start":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T00:00:00Z","timestamp":1593648000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"national natural science foundation of china","doi-asserted-by":"publisher","award":["61673102"],"award-info":[{"award-number":["61673102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,10]]},"abstract":"<jats:p> This paper investigates L<jats:sub>1<\/jats:sub> control problem for a class of nonlinear stochastic networked control systems (NCSs) described by Takagi-Sugeno (T-S) fuzzy model. By exploiting a delay-dependent and basis-dependent Lyapunov-Krasovskii function and by means of the It\u00f4 stochastic differential equation technique, results on stability and L<jats:sub>1<\/jats:sub> performance are proposed for the T-S fuzzy stochastic NCS. Specially, attention is focused on the fuzzy controller design that guarantees the closed-loop T-S fuzzy stochastic NCS is mean-square asymptotically stable and satisfies a prescribed L<jats:sub>1<\/jats:sub> noise attenuation level [Formula: see text] with respect to all persistent and amplitude-bounded disturbance input signals. To reduce the conservatism of design, the signal transmission delay, data packet dropout, and quantization have been taken into consideration in the controller design. The corresponding design problem of L<jats:sub>1<\/jats:sub> controller is converted into a convex optimization problem by solving a set of linear matrix inequalities (LMIs). Finally, simulation examples are provided to illustrate the feasibility and effectiveness of the proposed method. <\/jats:p>","DOI":"10.1177\/0142331220923770","type":"journal-article","created":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T07:43:12Z","timestamp":1593675792000},"page":"2675-2685","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["<i>L<\/i><sub>1<\/sub> control for <i>It\u00f4<\/i> stochastic nonlinear networked control systems"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9412-2660","authenticated-orcid":false,"given":"Ji","family":"Qi","sequence":"first","affiliation":[{"name":"College of Electrical and Information Engineering, Northeast Petroleum University, P.R. China"},{"name":"Communication and Electronic Engineering Institute, Qiqihar University, P.R. 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