{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T16:01:13Z","timestamp":1777910473286,"version":"3.51.4"},"reference-count":34,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2018,10,25]],"date-time":"2018-10-25T00:00:00Z","timestamp":1540425600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,5]]},"abstract":"<jats:p>This paper studies model predictive control for a Takagi\u2013Sugeno (T\u2013S) fuzzy system with randomly occurring actuator saturation and packet losses. The nonlinearity of the actuator saturation is transformed into a set of convex hulls, while the packet losses are assumed to obey the rules of Bernoulli distribution. Both parallel-distributed-compensation (PDC) and non-parallel-distributed-compensation (non-PDC) strategies are adopted to design the controller for the system. In addition, sufficient conditions of the stability for the closed-loop system are given in terms of linear matrix inequalities. It is shown that the non-PDC strategy behaves less conservatively than the PDC strategy in controlling the considered T\u2013S fuzzy system, when the input and output constraints are explicitly considered. Two simulation examples are provided to illustrate the effectiveness of the proposed design techniques.<\/jats:p>","DOI":"10.1177\/0142331218803414","type":"journal-article","created":{"date-parts":[[2018,10,25]],"date-time":"2018-10-25T16:23:00Z","timestamp":1540484580000},"page":"1437-1447","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Constrained model predictive control for T\u2013S fuzzy system with randomly occurring actuator saturation and packet losses via PDC and non-PDC strategies"],"prefix":"10.1177","volume":"42","author":[{"given":"Na","family":"Liu","sequence":"first","affiliation":[{"name":"Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoming","family":"Tang","sequence":"additional","affiliation":[{"name":"Key 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