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First, to describe the vehicle suspension system with nonlinear components, a Takagi-Sugeno fuzzy suspension model is established via local linear regression method. Second, considering that the communication bandwidth is limited, an adaptive event-triggered strategy is employed to acquire a higher efficiency in terms of saving the transmission resource. Third, based on a time-delay principle and Lyapunov stability theory, a co-design method is proposed to obtain the event generator and the fuzzy controller simultaneously. The proposed event-triggered fuzzy control method is effective to improve performances of the suspension system and guarantee the limits of suspension travel and tire deflection. Finally, compared with the existing method, the effectiveness of the proposed method is verified by simulation tests with various road disturbances.<\/jats:p>","DOI":"10.1177\/09596518221112553","type":"journal-article","created":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T04:54:32Z","timestamp":1659070472000},"page":"1865-1878","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Event-triggered fuzzy control for vehicle nonlinear suspension systems with time delay"],"prefix":"10.1177","volume":"236","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3101-9498","authenticated-orcid":false,"given":"Junru","family":"Jia","sequence":"first","affiliation":[{"name":"Institute of Energy and Environmental Science, Shantou University, Shantou, China"},{"name":"Key Laboratory of Intelligent Manufacturing Technology of MOE, Shantou University, Shantou, 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